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 926–950 of 15113 papers

TitleStatusHype
Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines—0
A Survey of Reinforcement Learning for Optimization in Automation—0
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing ProblemsCode1
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective—0
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping—0
Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning—0
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards—0
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters—0
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning—0
A Survey of In-Context Reinforcement Learning—0
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol—0
Active Advantage-Aligned Online Reinforcement Learning with Offline DataCode0
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning—0
Exploratory Diffusion Model for Unsupervised Reinforcement Learning—0
Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation—0
Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning—0
Exploring the Limit of Outcome Reward for Learning Mathematical ReasoningCode2
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Select before Act: Spatially Decoupled Action Repetition for Continuous Control—0
A view on learning robust goal-conditioned value functions: Interplay between RL and MPCCode0
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures—0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning—0
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization—0
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
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Benchmark Results

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