SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

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Showing 351–400 of 15113 papers

TitleStatusHype
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement LearningCode2
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning ModelsCode2
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language ModelsCode2
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement LearningCode2
AGILE: A Novel Reinforcement Learning Framework of LLM AgentsCode2
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement LearningCode2
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningCode2
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy OptimizationCode2
MO-Gym: A Library of Multi-Objective Reinforcement Learning EnvironmentsCode2
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement LearningCode2
Efficient World Models with Context-Aware TokenizationCode2
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement LearningCode2
Benchmarking Potential Based Rewards for Learning Humanoid LocomotionCode2
GenRL: Multimodal-foundation world models for generalization in embodied agentsCode2
Benchmarking Deep Reinforcement Learning for Continuous ControlCode2
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal SystemsCode2
Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk ManagementCode2
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical RobotCode2
OctoThinker: Mid-training Incentivizes Reinforcement Learning ScalingCode2
ODRL: A Benchmark for Off-Dynamics Reinforcement LearningCode2
Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingCode2
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsCode2
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System CollaborationCode2
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics ModelsCode2
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingCode2
Dialogue Learning With Human-In-The-LoopCode2
Decoupling Representation Learning from Reinforcement LearningCode2
DayDreamer: World Models for Physical Robot LearningCode2
Datasets and Benchmarks for Offline Safe Reinforcement LearningCode2
D4RL: Datasets for Deep Data-Driven Reinforcement LearningCode2
Craftium: An Extensible Framework for Creating Reinforcement Learning EnvironmentsCode2
PC-Gym: Benchmark Environments For Process Control ProblemsCode2
CTR-Driven Advertising Image Generation with Multimodal Large Language ModelsCode2
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersCode2
Curiosity-driven Red-teaming for Large Language ModelsCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
DIAMBRA Arena: a New Reinforcement Learning Platform for Research and ExperimentationCode2
EfficientZero V2: Mastering Discrete and Continuous Control with Limited DataCode2
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningCode2
Policy improvement by planning with GumbelCode2
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning AlgorithmsCode1
A Comprehensive Survey of Data Augmentation in Visual Reinforcement LearningCode1
Control-Informed Reinforcement Learning for Chemical ProcessesCode1
A Composable Specification Language for Reinforcement Learning TasksCode1
A Boolean Task Algebra for Reinforcement LearningCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Controlling the Risk of Conversational Search via Reinforcement LearningCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
Contrastive Reinforcement Learning of Symbolic Reasoning DomainsCode1
Contrastive State Augmentations for Reinforcement Learning-Based Recommender SystemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified