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

Showing 13011350 of 15113 papers

TitleStatusHype
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
Efficient Pressure: Improving efficiency for signalized intersectionsCode1
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future DirectionsCode1
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and ClassificationCode1
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement LearningCode1
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement LearningCode1
Constrained Variational Policy Optimization for Safe Reinforcement LearningCode1
Control-Informed Reinforcement Learning for Chemical ProcessesCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Active Inference for Stochastic ControlCode1
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement LearningCode1
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement LearningCode1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative TasksCode1
Are Expressive Models Truly Necessary for Offline RL?Code1
End-to-End Affordance Learning for Robotic ManipulationCode1
Energy-Based Imitation LearningCode1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningCode1
An Experimental Design Perspective on Model-Based Reinforcement LearningCode1
A Crash Course on Reinforcement LearningCode1
Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radarsCode1
Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagationCode1
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing SystemsCode1
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement LearningCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
Large Language Models are Learnable Planners for Long-Term RecommendationCode1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTSCode1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemCode1
Adversarially Trained Actor Critic for Offline Reinforcement LearningCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningCode1
Entropy-Regularized Process Reward ModelCode1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingCode1
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learningCode1
Learning to combine primitive skills: A step towards versatile robotic manipulationCode1
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless NetworksCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence GenerationCode1
Adversarial Policies: Attacking Deep Reinforcement LearningCode1
Evaluating Soccer Player: from Live Camera to Deep Reinforcement LearningCode1
Accelerating lifelong reinforcement learning via reshaping rewardsCode1
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic CandidatesCode1
Combining Modular Skills in Multitask LearningCode1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMsCode1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
Execution-based Code Generation using Deep Reinforcement LearningCode1
Expert-Supervised Reinforcement Learning for Offline Policy Learning and EvaluationCode1
Explainable Reinforcement Learning for Longitudinal ControlCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Collision Probability Distribution Estimation via Temporal Difference LearningCode1
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Benchmark Results

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