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 1051–1100 of 15113 papers

TitleStatusHype
Contrastive State Augmentations for Reinforcement Learning-Based Recommender SystemsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement LearningCode1
Contrastive Reinforcement Learning of Symbolic Reasoning DomainsCode1
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RLCode1
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning AlgorithmsCode1
Contrastive Active InferenceCode1
Continuous-Time Model-Based Reinforcement LearningCode1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
Continuous Deep Q-Learning with Model-based AccelerationCode1
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Continuous MDP Homomorphisms and Homomorphic Policy GradientCode1
Contrastive Preference Learning: Learning from Human Feedback without RLCode1
Control-Informed Reinforcement Learning for Chemical ProcessesCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
A Distributional Perspective on Reinforcement LearningCode1
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human PlayerCode1
Continual Model-Based Reinforcement Learning with HypernetworksCode1
Continual Backprop: Stochastic Gradient Descent with Persistent RandomnessCode1
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy GamesCode1
Continual Learning with Gated Incremental Memories for sequential data processingCode1
Continual Reinforcement Learning with Multi-Timescale ReplayCode1
Contextualized Rewriting for Text SummarizationCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Contextualize Me -- The Case for Context in Reinforcement LearningCode1
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement LearningCode1
Constructions in combinatorics via neural networksCode1
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting AgentCode1
Contingency-Aware Influence Maximization: A Reinforcement Learning ApproachCode1
Continual World: A Robotic Benchmark For Continual Reinforcement LearningCode1
Constrained Policy Optimization via Bayesian World ModelsCode1
Constrained episodic reinforcement learning in concave-convex and knapsack settingsCode1
Constrained Update Projection Approach to Safe Policy OptimizationCode1
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM ReasoningCode1
Consistency Models as a Rich and Efficient Policy Class for Reinforcement LearningCode1
Constrained Variational Policy Optimization for Safe Reinforcement LearningCode1
Conservative Q-Learning for Offline Reinforcement LearningCode1
Conservative Offline Distributional Reinforcement LearningCode1
Zero-Shot Reinforcement Learning from Low Quality DataCode1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint GeneratorsCode1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement LearningCode1
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement LearningCode1
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-InteractionCode1
Continuous control with deep reinforcement learningCode1
Conditional Mutual Information for Disentangled Representations in Reinforcement LearningCode1
Concise Reasoning via Reinforcement LearningCode1
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid DispatchingCode1
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future DirectionsCode1
CompoSuite: A Compositional Reinforcement Learning BenchmarkCode1
Computational Performance of Deep Reinforcement Learning to find Nash EquilibriaCode1
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Benchmark Results

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