Fact-checked by Grok 2 weeks ago

RL

Reinforcement learning (RL) is a in and in which an learns to select actions in an to maximize a cumulative reward signal received through trial-and-error interactions, without requiring labeled examples of optimal . Key concepts include Markov decision processes, which formalize the environment as states, actions, probabilities, and rewards; policies that map states to actions; and value functions estimating long-term returns. The field's theoretical foundations draw from , dynamic programming, and behavioral psychology's trial-and-error learning, with modern algorithmic developments accelerating in the 1980s through methods like temporal-difference learning and . RL has achieved breakthroughs in complex sequential decision-making tasks, most notably DeepMind's system, which in 2016 defeated world champion at the game of Go by combining deep neural networks with and self-play reinforcement, demonstrating superhuman performance in a domain previously deemed intractable for computers due to its vast state space. Subsequent variants like extended this to chess and without human knowledge, relying solely on self-generated data and RL to surpass expert human play. These accomplishments highlight RL's potential for discovering novel strategies through exploration and exploitation, though shows its success often depends on massive computational resources and domain-specific engineering. Despite these advances, RL faces persistent challenges, including extreme sample inefficiency—requiring millions of interactions to converge where humans learn from far fewer examples—and instability in training, particularly with function approximation in high-dimensional spaces like deep RL. Real-world deployment reveals further hurdles, such as sensitivity to reward specification leading to unintended behaviors (reward hacking), poor generalization beyond training distributions, and difficulties scaling to partially observable or multi-agent settings without human intervention. In applications like RL from human feedback (RLHF) for aligning large language models, controversies arise over induced sycophancy, amplification of human biases in feedback data, and vulnerability to adversarial manipulation, underscoring that RL's causal mechanisms for decision-making do not inherently ensure robustness or truthfulness without rigorous safeguards.

Artificial intelligence and machine learning

Reinforcement learning

Reinforcement learning (RL) is a paradigm in which an learns to select actions in an environment to maximize the expected cumulative reward through repeated interactions, relying on trial-and-error feedback rather than pre-labeled examples. This approach contrasts with by not requiring explicit demonstrations of optimal behavior, instead deriving policies from scalar reward signals that encode environmental feedback on action outcomes. Empirically, RL algorithms converge toward optimal decision-making by balancing exploration of novel actions against exploitation of known rewarding ones, as quantified in settings like problems where regret minimization measures learning efficiency. At its core, RL formalizes decision processes using Markov decision processes (MDPs), defined by a tuple (S, A, P, R, \gamma), where S represents the space observable by the , A the action space, P(s'|s,a) the transition probabilities to next states s', R(s,a) the immediate reward function, and \gamma \in [0,1) the discount factor prioritizing near-term rewards. Central components include the \pi(a|s), which maps states to action probabilities; value functions V^\pi(s) estimating long-term rewards from state s under policy \pi; and action-value functions Q^\pi(s,a) evaluating state-action pairs. These elements enable model-free methods like temporal-difference learning, which update estimates incrementally based on observed reward discrepancies, \delta_t = r_{t+1} + \gamma V(s_{t+1}) - V(s_t), propagating causal credit assignment backward through episodes without full environment simulation. The foundations of RL trace to the 1950s, integrating Richard Bellman's dynamic programming for optimal control with behavioral psychology concepts like Edward Thorndike's law of effect, positing that rewarded behaviors strengthen over time. Key algorithmic advances include temporal-difference methods formalized by Richard Sutton in 1988 and Q-learning introduced by Christopher Watkins in 1989, an off-policy algorithm updating Q(s,a) \leftarrow Q(s,a) + \alpha [r + \gamma \max_{a'} Q(s',a') - Q(s,a)], proven to converge to optimal values in finite MDPs under sufficient exploration. Modern scalability emerged with deep reinforcement learning, exemplified by DeepMind's AlphaGo in 2016, which combined deep neural networks with RL to master Go by self-play, achieving superhuman performance through policy and value network refinement via millions of simulated games. These developments underscore RL's empirical strength in sequential decision-making under uncertainty, validated by convergence guarantees in tabular cases and empirical successes in high-dimensional domains.

Internet slang and terminology

Real life

"Real life," abbreviated as RL, denotes offline existence, responsibilities, and interactions in contrast to virtual or activities within . This term emerged in early digital communities, including Multi-User Dungeons (MUDs) and chat rooms during the , where participants used it to reference non-digital obligations interrupting engagement. For instance, in MUD settings—text-based virtual worlds predating modern MMORPGs— signified the physical world pulling users away from simulated adventures. Common phrases like "BRB, RL calls" illustrate its application in gaming forums and social media, signaling a temporary logout due to real-world demands such as work or family. Usage data from platforms like shows RL embedded in discussions of work-life balance, often framing offline life as an unwelcome diversion from digital immersion, as in references to "RL problems" preventing constant participation. Early Relay Chat (IRC) logs and archives from the late 1990s onward reflect similar patterns, with RL critiquing or acknowledging the boundary between and tangible experiences in subcultures like online . While RL underscores a practical distinction without implying superiority of one realm over the other, its prevalence correlates with rising internet adoption, appearing in contexts emphasizing detachment from excessive virtual involvement. Empirical tracking via linguistic analyses of archived posts confirms its persistence in niche communities, though "IRL" (in real life) has gained parallel traction for meetups transitioning from online to offline. Sources on slang evolution, drawn from academic compilations of net.lingo rather than mainstream media, highlight RL's role in demarcating spheres amid critiques of screen dependency, without evidence of coordinated ideological pushback.

Sports

Rugby league

Rugby league emerged as a professional variant of following a in 1895, when 22 clubs from , primarily working-class communities, broke away from the (RFU) to form the Northern Union. The split arose from disputes over "broken time" payments to compensate players for lost wages due to injuries or time off work, which violated the RFU's strict amateurism rules. This divergence established rugby league's emphasis on paid participation, contrasting with union's amateur ethos at the time. Key rule distinctions include teams of 13 players per side, reduced from rugby union's 15, and the six-tackle rule, which limits a team's possession to six attempts to advance the ball before turnover to the opposition, unless a try or penalty intervenes. These changes promote a faster-paced game focused on ball retention through structured plays, with unlimited tackles permitted but requiring the tackled player to be released immediately for a play-the-ball restart. The (IRL), established as the sport's global governing body, coordinates international matches and tournaments like the . Major professional competitions include Australia's (NRL), which in 2025 achieved record television viewership with its grand final averaging 4.18 million national viewers, and the UK's Betfred Super League, which surpassed 1.62 million total attendees in its 2025 regular season, averaging over 10,000 per match. Rugby league's physical demands manifest in high-contact play, with professional match incidence rates of approximately 57 per 1,000 player-hours reported across seasons, predominantly involving muscular strains and joint issues. Strategic elements, such as set-piece execution and defensive lines, drive empirical outcomes like average try-scoring rates exceeding one per player-game in elite wings, underscoring the code's balance of power and tactical precision.

Fashion and brands

Ralph Lauren

Ralph Lauren Corporation is an American luxury fashion company founded by designer in 1967, beginning with a line of wide men's neckties marketed under the brand. The company quickly expanded into full menswear collections by , introducing tailored shirts, , and the signature polo player logo in 1971, which became a hallmark of its , aspirational American aesthetic drawing from traditions, motifs, and timeless Western influences rather than fleeting trends. Over decades, it diversified into women's apparel, , accessories, fragrances, and home goods, establishing a global with revenues reaching $6.4 billion in 2023, up 4% from the prior year on a reported basis. The brand's commercial success stems from its emphasis on premium quality fabrics, meticulous craftsmanship, and versatile designs that appeal to affluent consumers seeking enduring style over seasonal novelty. Iconic product lines include Polo Ralph Lauren for casual sportswear, the higher-end Purple Label launched in 1994 as the pinnacle of menswear with Italian-sourced materials and hand-tailored suits, and home collections featuring motifs like patterns and themes. Market impact is evident in its role popularizing the "preppy" look worldwide, influencing consumer preferences for heritage-driven luxury and generating consistent growth through channels, with fiscal 2023 direct sales comprising a significant portion of . As of 2023, maintained a global retail footprint of 344 directly operated stores, concentrated in key markets like and , supplemented by over 500 wholesale points of sale and licensing partnerships that extend its reach without diluting brand control. This network, verifiable via annual filings, supports strategic expansions such as flagship boutiques emphasizing experiential retail, contributing to resilience amid varying economic conditions and positioning the company as a leader in aspirational luxury with a exceeding $10 billion by late 2023.

Video games and entertainment

Rocket League

Rocket League is a vehicular soccer developed and published by , released on July 7, 2015, for Microsoft Windows and , with subsequent ports to in February 2016 and other platforms. It serves as a sequel to Psyonix's 2008 game , expanding on its core concept of rocket-powered vehicles competing in arena-based matches. In May 2019, acquired Psyonix, leading to the game's transition to a model on September 23, 2020, which broadened its accessibility across platforms including , , , and . Gameplay centers on teams of up to three players controlling customizable cars equipped with rocket boosters, navigating physics-simulated arenas to strike a into the opponent's , akin to soccer but with vertical for aerial maneuvers, wall rides, and high-speed collisions. Matches last five minutes, emphasizing boost management, precise , and team coordination, with no player respawns to heighten tactical decisions. The game's foundation enables destructible environments and realistic ball physics, fostering skill-based progression through ranked matchmaking systems that track performance metrics like goals, saves, and assists. By 2020, prior to its shift, had amassed over 50 million players, driven by and seasonal updates introducing new arenas, vehicles, and battle-car customizations. Its competitive scene, anchored by the (RLCS) launched in 2016, features professional leagues with multimillion-dollar prize pools, such as $5 million across the 2025 season and $1.2 million for the . Tournament outcomes, verifiable via platform analytics and databases, underscore the emphasis on mechanical proficiency and strategy, with top teams like NRG securing victories through consistent execution in 3v3 formats.

Automotive

Acura RL

The was a mid-size manufactured by , Honda's premium vehicle division, for the North American market from the 1996 to 2012 model years across two generations. The first generation (1996–2004) succeeded the and featured a 3.5-liter with 290 horsepower, paired with a four-speed and available . It emphasized refined performance and amenities, including leather upholstery, a premium audio system, and optional navigation, positioning it as Acura's competing against established rivals in the executive segment. The second generation, introduced for the 2005 model year, brought significant upgrades including the debut of Super Handling All-Wheel Drive (SH-AWD), a torque-vectoring system that enhanced cornering stability by distributing up to 70% of torque to the rear wheels and varying power between rear wheels. Powered initially by a 3.5-liter VTEC V6 engine delivering 300 horsepower and 260 lb-ft of torque, it used a five-speed Sequential SportShift automatic transmission. Safety innovations included the optional Collision Mitigation Braking System (CMBS), introduced in 2006, which used millimeter-wave radar to detect potential rear-end collisions and automatically applied brakes if the driver did not respond. A 2009 refresh increased engine displacement to 3.7 liters while maintaining 300 horsepower, added LED taillights, and improved interior materials. U.S. reached initial peaks with the first generation exceeding 15,000 units annually in its early years but declined sharply in the second generation, with fewer than 1,000 units sold in the first half of amid intensifying competition and shifting consumer preferences toward SUVs. The RL was discontinued after 2012 due to persistently low demand, succeeded by the redesigned RLX in 2014, which incorporated further advancements like powertrains absent in the RL lineup. Despite its technological emphasis, the model struggled to achieve volume leadership in the premium sedan category, where European brands dominated metrics.

Medicine

Lactated Ringer's solution

Lactated Ringer's solution is a crystalloid intravenous fluid designed to approximate the composition of human , serving as a balanced replacement for volume and maintenance therapy. Originally developed by British physiologist Sydney Ringer in the early 1880s as a simple saline solution to sustain isolated heart contractions, it was later modified in 1932 by pediatrician Alexis Hartmann through the addition of to buffer against and improve metabolic stability during clinical use. The component metabolizes to in the liver, providing an alkalinizing effect that distinguishes it from unbalanced solutions like 0.9% normal saline. The standard formulation contains, per liter: 130 mEq sodium, 4 mEq , 1.5 mEq calcium, 109 mEq , and 28 mEq , dissolved in sterile water with a typically ranging from 6.0 to 7.5. This composition more closely mimics than normal saline, reducing risks of hyperchloremic associated with chloride-heavy alternatives. Approved by the U.S. for and fluid replenishment, it is manufactured by multiple pharmaceutical companies and remains a staple in formularies for routine via peripheral or central venous access. Clinically, Lactated Ringer's is indicated for treating from , hemorrhage, burns, or , as well as for fluid management and initial in states, including protocols. It supports diuresis and acid-base balance without inducing severe metabolic disturbances when used appropriately, though caution is advised in patients with , , or renal impairment due to potential accumulation. Comparative trials, such as a 2025 multicenter study in sepsis-induced hypoperfusion, found initial with Lactated Ringer's associated with improved survival odds compared to normal saline, attributed to less disruption of renal and reduced inflammatory markers. However, a large 2025 hospital-wide crossover randomized trial reported no significant differences in mortality, , or major adverse kidney events between Lactated Ringer's and normal saline across general inpatient populations, indicating equivalence for broad use despite theoretical advantages in balanced profiles. In specific contexts like sickle cell vaso-occlusive crises, observational data from 2024 showed modest improvements in hospital-free days and readmission rates with Lactated Ringer's over saline. Overall, while evidence supports its role in mitigating acidosis-related complications, no universal superiority over saline has been established in high-quality trials, emphasizing patient-specific selection.

People known by these initials

Notable individuals

R. L. Stine (born October 8, 1943) is an author renowned for the series of horror novels aimed at children, launched by Scholastic in July 1992 with . The series has sold more than 400 million copies worldwide, establishing Stine as one of the most prolific and commercially successful writers in juvenile fiction. (May 25, 1927 – March 12, 2001) was an American novelist specializing in high-stakes thrillers, with his breakthrough work published in 1980, introducing the amnesiac assassin . Ludlum authored 27 novels during his lifetime, many featuring intricate plots of international conspiracy thwarted by lone protagonists. Adaptations of the Bourne series into films, starting with the 2002 release directed by , have collectively grossed over $1.6 billion worldwide. RL (born Robert Lavelle Huggar, April 2, 1977) is an American R&B singer-songwriter who gained fame as the lead vocalist of the group Next, formed in Minneapolis in 1992. Next's debut album Rated Next (1997) produced the number-one Billboard Hot 100 single "Too Close," certified multi-platinum by the RIAA for sales exceeding 2 million units in the United States. Following the group's success, RL released solo material, including the album RL: Ements in 2002.

Other uses

RL circuit

An RL circuit comprises a resistor (R) and an (L) connected either in series or in , forming a linear circuit used to analyze time-varying currents and voltages in electrical systems. In practice, the series is fundamental for studying transient responses, where the opposes rapid changes in current according to , while the dissipates energy. These circuits model real-world inductive loads, such as in electric motors or relays, and have been integral to circuit theory since the late following the mathematical formulation of by and others building on . The behavior of a series RL circuit is governed by the first-order differential equation L \frac{di}{dt} + Ri = v(t), where i is the current, v(t) is the applied voltage, L is inductance in henries, and R is resistance in ohms. For a DC step input v(t) = V (constant voltage applied at t=0), the solution yields an exponential growth in current: i(t) = \frac{V}{R} (1 - e^{-(R/L)t}), starting from zero and approaching the steady-state value V/R. Conversely, upon removing the source (decay phase), the current follows i(t) = I_0 e^{-(R/L)t}, where I_0 is the initial current, decaying to zero. The characteristic time constant \tau = L/R quantifies the response speed, representing the time for the current to reach approximately 63.2% of its final value during growth or decay; five time constants typically suffice for near-steady-state (about 99.3% settled). In units, \tau has dimensions of seconds, with higher or lower prolonging transients. This exponential dynamics arises from solving the , verifiable through or measurements in lab settings. Parallel RL circuits exhibit analogous transients but with voltage across the inductor decaying exponentially when driven by a current source, following v(t) = V_0 e^{-(R/L)t}, where the time constant remains \tau = L/R. Such configurations inform basic filter designs and energy storage analysis, though series RL dominates transient studies due to simpler sourcing. Overall, RL circuits underpin understanding of inductive effects in power systems and electronics, with responses predictable via Kirchhoff's laws and verifiable empirically.

Radio Liberty

Radio Liberty, a core component of (RFE/RL), was established in 1953 as a surrogate broadcaster to deliver uncensored news, analysis, and cultural content to audiences in the , aiming to counteract state propaganda with verifiable information grounded in external reporting. Transmissions began on March 1, 1953, from a site in Lampertheim, , expanding to shortwave and medium-wave operations from headquarters and relay stations in , , and , covering alongside 17 other languages of Soviet republics to reach diverse ethnic groups within the USSR. Funding originated from U.S. congressional appropriations channeled covertly through the until 1971, when public disclosure prompted a shift to direct oversight by bodies such as the Board for International Broadcasting (later the Broadcasting Board of Governors and U.S. Agency for Global Media), ensuring sustained operations independent of private donors. During the , despite Soviet jamming, audience research by RFE/RL's divisions documented peak listenership, with surveys from the and estimating weekly reach of up to 11% of Soviet adults, reflecting demand for alternative perspectives amid information controls. Post-1991 Soviet , Radio Liberty opened a Moscow bureau under a Yeltsin and broadened programming to and , relocating headquarters to in 1995 while launching digital and TV services like Current Time in 2014 to address and promote fact-based against dominant outlets. Its ongoing U.S. congressional supports this mandate, prioritizing empirical sourcing over narratives aligned with authoritarian regimes. Historical impact is evidenced by declassified U.S. documents and listener surveys, which highlight Radio Liberty's role in real-time coverage of the —reaching millions and influencing public awareness—contributing to broader erosion of communist information monopolies without reliance on unverified claims.

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