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 1201–1225 of 15113 papers

TitleStatusHype
AI Planning: A Primer and Survey (Preliminary Report)—0
RLZero: Direct Policy Inference from Language Without In-Domain Supervision—0
Reinforcement Learning Enhanced LLMs: A SurveyCode3
Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement LearningCode1
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy—0
Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting—0
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline PolicyCode0
Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning—0
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning—0
Using Deep Reinforcement Learning to Enhance Channel Sampling Patterns in Integrated Sensing and Communication—0
AI-Driven Day-to-Day Route ChoiceCode1
Learning Whole-Body Loco-Manipulation for Omni-Directional Task Space Pose Tracking with a Wheeled-Quadrupedal-Manipulator—0
Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement LearningCode0
Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents—0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum—0
Conformal Symplectic Optimization for Stable Reinforcement LearningCode2
AI-Driven Resource Allocation Framework for Microservices in Hybrid Cloud Platforms—0
Reinforcement learning to learn quantum states for Heisenberg scaling accuracyCode0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Generating Critical Scenarios for Testing Automated Driving Systems—0
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication—0
Approximately Optimal Search on a Higher-dimensional Sliding PuzzleCode0
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic PerspectiveCode2
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks—0
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning—0
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Benchmark Results

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