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 17511800 of 15113 papers

TitleStatusHype
Masked Contrastive Representation Learning for Reinforcement LearningCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous ControlCode1
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy MethodCode1
Modeling Protagonist Emotions for Emotion-Aware StorytellingCode1
UAV Path Planning using Global and Local Map Information with Deep Reinforcement LearningCode1
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution SystemsCode1
Measuring Visual Generalization in Continuous Control from PixelsCode1
Efficient Wasserstein Natural Gradients for Reinforcement LearningCode1
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
LaND: Learning to Navigate from DisengagementsCode1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and BaselinesCode1
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningCode1
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning StudiesCode1
Reinforcement Learning with Random DelaysCode1
Reward Machines: Exploiting Reward Function Structure in Reinforcement LearningCode1
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model AdaptationCode1
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement LearningCode1
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing SystemsCode1
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy GamesCode1
FORK: A Forward-Looking Actor For Model-Free Reinforcement LearningCode1
Self-Play Reinforcement Learning for Fast Image RetargetingCode1
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningCode1
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior RegularizationCode1
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point CloudsCode1
Learning Rewards from Linguistic FeedbackCode1
Learning to swim in potential flowCode1
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement LearningCode1
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN PredictionCode1
Neurosymbolic Reinforcement Learning with Formally Verified ExplorationCode1
Continual Model-Based Reinforcement Learning with HypernetworksCode1
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy DecompositionCode1
Deep Reinforcement Learning for Process SynthesisCode1
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in CoqCode1
RL STaR Platform: Reinforcement Learning for Simulation based Training of RobotsCode1
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement LearningCode1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulationsCode1
Finding Effective Security Strategies through Reinforcement Learning and Self-PlayCode1
Text Generation by Learning from DemonstrationsCode1
Meta-AAD: Active Anomaly Detection with Deep Reinforcement LearningCode1
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly DataCode1
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile NetworksCode1
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware DetectionCode1
Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov ApproachCode1
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous ControlCode1
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement LearningCode1
Phasic Policy GradientCode1
Deep Active Inference for Partially Observable MDPsCode1
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Benchmark Results

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