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 9076–9100 of 15113 papers

TitleStatusHype
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing—0
Reinforcement Learning for Adaptive Mesh Refinement—0
Reinforcement Learning for Adaptive Video Compressive Sensing—0
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application—0
Reinforcement learning for Admission Control in 5G Wireless Networks—0
Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding—0
Reinforcement Learning for Agile Active Target Sensing with a UAV—0
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting—0
Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design—0
Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers—0
Reinforcement Learning for Assignment problem—0
Reinforcement Learning for Assignment Problem with Time Constraints—0
Reinforcement Learning for Autonomous Defence in Software-Defined Networking—0
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships—0
Reinforcement learning for bandwidth estimation and congestion control in real-time communications—0
Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer—0
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems—0
Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation—0
Reinforcement Learning for Block Decomposition of CAD Models—0
Reinforcement Learning for Caching with Space-Time Popularity Dynamics—0
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators—0
Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network Node Management in an LEO-based Satellite Constellation—0
Reinforcement Learning for Combinatorial Optimization: A Survey—0
Reinforcement Learning for ConnectX—0
Reinforcement Learning for Control with Probabilistic Stability Guarantee—0
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Benchmark Results

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