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 1901–1950 of 15113 papers

TitleStatusHype
Robot Perception enables Complex Navigation Behavior via Self-Supervised LearningCode1
Agent Modelling under Partial Observability for Deep Reinforcement LearningCode1
Model-based Adversarial Meta-Reinforcement LearningCode1
AWAC: Accelerating Online Reinforcement Learning with Offline DatasetsCode1
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous ControlCode1
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large GamesCode1
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven ExplorationCode1
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and PlanningCode1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative TasksCode1
Shared Experience Actor-Critic for Multi-Agent Reinforcement LearningCode1
SAMBA: Safe Model-Based & Active Reinforcement LearningCode1
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer SearchCode1
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic ReasoningCode1
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue SystemCode1
Learning to Incentivize Other Learning AgentsCode1
Robust Spammer Detection by Nash Reinforcement LearningCode1
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical StudyCode1
Constrained episodic reinforcement learning in concave-convex and knapsack settingsCode1
Reinforcement Learning Under Moral UncertaintyCode1
Learning to Play No-Press Diplomacy with Best Response Policy IterationCode1
Conservative Q-Learning for Offline Reinforcement LearningCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply ChainsCode1
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample ComplexityCode1
Deployment-Efficient Reinforcement Learning via Model-Based Offline OptimizationCode1
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningCode1
Single-step deep reinforcement learning for open-loop control of laminar and turbulent flowsCode1
Interferobot: aligning an optical interferometer by a reinforcement learning agentCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
Acme: A Research Framework for Distributed Reinforcement LearningCode1
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement LearningCode1
PlanGAN: Model-based Planning With Sparse Rewards and Multiple GoalsCode1
Sim2Real for Peg-Hole Insertion with Eye-in-Hand CameraCode1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environmentsCode1
Predicting Goal-directed Human Attention Using Inverse Reinforcement LearningCode1
MOPO: Model-based Offline Policy OptimizationCode1
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori KnowledgeCode1
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPOCode1
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod RobotCode1
Mirror Descent Policy OptimizationCode1
Ultrasound Video Summarization using Deep Reinforcement LearningCode1
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement LearningCode1
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement LearningCode1
Training spiking neural networks using reinforcement learningCode1
Planning to Explore via Self-Supervised World ModelsCode1
MOReL : Model-Based Offline Reinforcement LearningCode1
Delay-Aware Model-Based Reinforcement Learning for Continuous ControlCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement LearningCode1
Show:102550
← PrevPage 39 of 303Next →

Benchmark Results

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