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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2051–2100 of 15113 papers

TitleStatusHype
Constrained episodic reinforcement learning in concave-convex and knapsack settingsCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Continuous-Time Model-Based Reinforcement LearningCode1
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction EstimationCode1
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement LearningCode1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement LearningCode1
Conditional Mutual Information for Disentangled Representations in Reinforcement LearningCode1
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future DirectionsCode1
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid DispatchingCode1
Conservative Offline Distributional Reinforcement LearningCode1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTSCode1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulationsCode1
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement LearningCode1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative TasksCode1
Compiler Optimization for Quantum Computing Using Reinforcement LearningCode1
Benchmarking Constraint Inference in Inverse Reinforcement LearningCode1
Benchmarking Batch Deep Reinforcement Learning AlgorithmsCode1
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action ConstraintsCode1
Compositional Reinforcement Learning from Logical SpecificationsCode1
CompoSuite: A Compositional Reinforcement Learning BenchmarkCode1
Computational Performance of Deep Reinforcement Learning to find Nash EquilibriaCode1
Concise Reasoning via Reinforcement LearningCode1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMsCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint GeneratorsCode1
An Application of Deep Reinforcement Learning to Algorithmic TradingCode1
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement LearningCode1
Compile Scene Graphs with Reinforcement LearningCode1
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM ReasoningCode1
Constrained Policy Optimization via Bayesian World ModelsCode1
Constrained Update Projection Approach to Safe Policy OptimizationCode1
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-InteractionCode1
Constructions in combinatorics via neural networksCode1
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Contextualize Me -- The Case for Context in Reinforcement LearningCode1
Contingency-Aware Influence Maximization: A Reinforcement Learning ApproachCode1
Continual Model-Based Reinforcement Learning with HypernetworksCode1
Continual Reinforcement Learning with Multi-Timescale ReplayCode1
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter OptimizationCode1
Continuous control with deep reinforcement learningCode1
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement LearningCode1
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse ShapesCode1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
Contrastive Preference Learning: Learning from Human Feedback without RLCode1
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
Conservative Q-Learning for Offline Reinforcement LearningCode1
Show:102550
← PrevPage 42 of 303Next →

Benchmark Results

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