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 1351–1400 of 15113 papers

TitleStatusHype
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal controlCode1
Compositional Reinforcement Learning from Logical SpecificationsCode1
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic RewardsCode1
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Fault-Tolerant Federated Reinforcement Learning with Theoretical GuaranteeCode1
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable EnvironmentCode1
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise SafetyCode1
Compile Scene Graphs with Reinforcement LearningCode1
CompoSuite: A Compositional Reinforcement Learning BenchmarkCode1
An Experimental Design Perspective on Model-Based Reinforcement LearningCode1
A Crash Course on Reinforcement LearningCode1
Compiler Optimization for Quantum Computing Using Reinforcement LearningCode1
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future DirectionsCode1
Adversarial Soft Advantage Fitting: Imitation Learning without Policy OptimizationCode1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTSCode1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative TasksCode1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement LearningCode1
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing EnvironmentCode1
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosCode1
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement LearningCode1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulationsCode1
A Reinforcement Learning Environment for Mathematical Reasoning via Program SynthesisCode1
Forgetful Experience Replay in Hierarchical Reinforcement Learning from DemonstrationsCode1
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
Computational Performance of Deep Reinforcement Learning to find Nash EquilibriaCode1
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point CloudsCode1
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningCode1
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching AgentCode1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemCode1
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning FrameworkCode1
Future-conditioned Unsupervised Pretraining for Decision TransformerCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Gamma and Vega Hedging Using Deep Distributional Reinforcement LearningCode1
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual ExplanationsCode1
Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-RescueCode1
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehiclesCode1
Sample Efficient Reinforcement Learning via Large Vision Language Model DistillationCode1
Generalizable Visual Reinforcement Learning with Segment Anything ModelCode1
Generalization in Reinforcement Learning by Soft Data AugmentationCode1
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement LearningCode1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingCode1
Learning to combine primitive skills: A step towards versatile robotic manipulationCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningCode1
Combining Modular Skills in Multitask LearningCode1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMsCode1
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Benchmark Results

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