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

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Showing 2576–2600 of 15113 papers

TitleStatusHype
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents—0
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range—0
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning—0
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents—0
Autonomous Satellite Docking via Adaptive Optimal Output Rregulation: A Reinforcement Learning Approach—0
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning—0
Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment—0
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading—0
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks—0
Coordinated Attacks Against Federated Learning: A Multi-Agent Reinforcement Learning Approach—0
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach—0
Autonomous Resource Management in Construction Companies Using Deep Reinforcement Learning Based on IoT—0
Adaptive optimal training of animal behavior—0
Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics—0
Autonomous Reinforcement Learning of Multiple Interrelated Tasks—0
A note on stabilizing reinforcement learning—0
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space—0
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
Adaptive operator selection utilising generalised experience—0
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards—0
Autonomous Quadrotor Landing using Deep Reinforcement Learning—0
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming—0
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Benchmark Results

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