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 31513200 of 15113 papers

TitleStatusHype
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation0
An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets0
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion0
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty0
SafeDreamer: Safe Reinforcement Learning with World ModelsCode1
Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative0
Robotic Manipulation Datasets for Offline Compositional Reinforcement LearningCode1
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control TasksCode1
Transformers in Reinforcement Learning: A Survey0
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior0
Payload-Independent Direct Cost Learning for Image SteganographyCode1
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement LearningCode0
Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing0
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)Code0
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive RecommendationCode1
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning0
RLTF: Reinforcement Learning from Unit Test FeedbackCode1
Investigating the Edge of Stability Phenomenon in Reinforcement Learning0
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems0
Active Collection of Well-Being and Health Data in Mobile DevicesCode0
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive LearningCode1
When Do Transformers Shine in RL? Decoupling Memory from Credit AssignmentCode2
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance0
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback0
Offline Reinforcement Learning with Imbalanced Datasets0
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations0
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement LearningCode0
Generative Job Recommendations with Large Language Model0
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-OffsCode1
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning0
A Scalable Reinforcement Learning-based System Using On-Chain Data for Cryptocurrency Portfolio Management0
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learningCode1
Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningCode1
Decentralized Motor Skill Learning for Complex Robotic Systems0
Navigation of micro-robot swarms for targeted delivery using reinforcement learning0
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules0
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch0
Probabilistic Constraint for Safety-Critical Reinforcement Learning0
Safety-Aware Task Composition for Discrete and Continuous Reinforcement Learning0
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkCode4
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand CoresCode1
Laxity-Aware Scalable Reinforcement Learning for HVAC Control0
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning0
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse RewardsCode1
Structure in Deep Reinforcement Learning: A Survey and Open Problems0
Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning0
Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments0
Automatic Truss Design with Reinforcement LearningCode1
Machine-learning based noise characterization and correction on neutral atoms NISQ devices0
Show:102550
← PrevPage 64 of 303Next →

Benchmark Results

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