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 501–550 of 15113 papers

TitleStatusHype
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile NetworksCode1
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingCode1
Simplified Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum GamesCode1
Deployment-Efficient Reinforcement Learning via Model-Based Offline OptimizationCode1
A Comprehensive Survey of Data Augmentation in Visual Reinforcement LearningCode1
Adaptive Transformers in RLCode1
Deep Black-Box Reinforcement Learning with Movement PrimitivesCode1
Design Process is a Reinforcement Learning ProblemCode1
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent SpaceCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline GenerationCode1
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic ApproachCode1
Augmenting Policy Learning with Routines Discovered from a Single DemonstrationCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deceptive Path Planning via Reinforcement Learning with Graph Neural NetworksCode1
Automated Cloud Provisioning on AWS using Deep Reinforcement LearningCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
Attacking Video Recognition Models with Bullet-Screen CommentsCode1
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement LearningCode1
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation TasksCode1
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement LearningCode1
Decoupling Value and Policy for Generalization in Reinforcement LearningCode1
Debiased Contrastive LearningCode1
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value FunctionCode1
A Text-based Deep Reinforcement Learning Framework for Interactive RecommendationCode1
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN PredictionCode1
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod RobotCode1
Dataset Reset Policy Optimization for RLHFCode1
Asynchronous Reinforcement Learning for Real-Time Control of Physical RobotsCode1
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative ExplorationCode1
Learning to Manipulate Deformable Objects without DemonstrationsCode1
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement LearningCode1
A SWAT-based Reinforcement Learning Framework for Crop ManagementCode1
A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement LearningCode1
DARTS: Differentiable Architecture SearchCode1
Asynchronous Methods for Deep Reinforcement LearningCode1
Adaptive Contention Window Design using Deep Q-learningCode1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler MitigationCode1
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field ExperimentsCode1
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationCode1
Curriculum Offline Imitation LearningCode1
D2RL: Deep Dense Architectures in Reinforcement LearningCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Curriculum-based Reinforcement Learning for Distribution System Critical Load RestorationCode1
Data-Efficient Reinforcement Learning with Self-Predictive RepresentationsCode1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement LearningCode1
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character SkillsCode1
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Benchmark Results

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