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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2025 of 15113 papers

TitleStatusHype
Stabilising Experience Replay for Deep Multi-Agent Reinforcement LearningCode1
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage ControlCode1
Combining Reinforcement Learning with Model Predictive Control for On-Ramp MergingCode1
Stabilizing Transformers for Reinforcement LearningCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelsCode1
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility StudyCode1
State Entropy Maximization with Random Encoders for Efficient ExplorationCode1
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level PaintingsCode1
Staying up to Date with Online Content Changes Using Reinforcement Learning for SchedulingCode1
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTSCode1
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image RegistrationCode1
Combining Modular Skills in Multitask LearningCode1
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse ManagementCode1
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGymCode1
Analysis of diversity-accuracy tradeoff in image captioningCode1
A Boolean Task Algebra for Reinforcement LearningCode1
Structured Reinforcement Learning for Combinatorial Decision-MakingCode1
BCORLE(): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce MarketCode1
Submodular Reinforcement LearningCode1
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement LearningCode1
SuperSuit: Simple Microwrappers for Reinforcement Learning EnvironmentsCode1
An Attentive Graph Agent for Topology-Adaptive Cyber DefenceCode1
Combining Reinforcement Learning and Constraint Programming for Combinatorial OptimizationCode1
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesCode1
Show:102550
← PrevPage 81 of 605Next →

Benchmark Results

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