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 9051–9100 of 15113 papers

TitleStatusHype
Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication—0
Reinforcement Learning Beyond Expectation—0
Reinforcement Learning, Bit by Bit—0
Reinforcement Learning by Guided Safe Exploration—0
Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints—0
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity—0
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee—0
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration—0
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud—0
PaccMann^RL: Designing anticancer drugs from transcriptomic data via reinforcement learning—0
Reinforcement Learning Driven Heuristic Optimization—0
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach—0
Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications—0
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence—0
Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Reinforcement Learning-Enabled Reliable Wireless Sensor Networks in Dynamic Underground Environments—0
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications—0
Reinforcement Learning Enhanced Explainer for Graph Neural Networks—0
Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization—0
Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences—0
Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat—0
Reinforcement Learning Experience Reuse with Policy Residual Representation—0
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models—0
Reinforcement Learning for Active Matter—0
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