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 4876–4900 of 15113 papers

TitleStatusHype
A REINFORCEMENT LEARNING FRAMEWORK FOR TIME DEPENDENT CAUSAL EFFECTS EVALUATION IN A/B TESTING—0
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving—0
Robust Reinforcement Learning for Risk-Sensitive Linear Quadratic Gaussian Control—0
A Reinforcement learning method for Optical Thin-Film Design—0
A Reinforcement Learning Neural Network for Robotic Manipulator Control—0
A reinforcement learning strategy for p-adaptation in high order solvers—0
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings—0
Arena-Web -- A Web-based Development and Benchmarking Platform for Autonomous Navigation Approaches—0
A Reusable Framework Based on Reinforcement Learning to Design Antennas for Curved Surfaces—0
A Review for Deep Reinforcement Learning in Atari: Benchmarks, Challenges, and Solutions—0
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions—0
A Review of Cooperative Multi-Agent Deep Reinforcement Learning—0
A Review of Explainable Artificial Intelligence in Manufacturing—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search—0
A Review of Neural Network Based Machine Learning Approaches for Rotor Angle Stability Control—0
A Review of Nine Physics Engines for Reinforcement Learning Research—0
A Review of Off-Policy Evaluation in Reinforcement Learning—0
A Review of Reinforcement Learning for Autonomous Building Energy Management—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
A Review of Reinforcement Learning in Financial Applications—0
A Review of Safe Reinforcement Learning Methods for Modern Power Systems—0
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making—0
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Benchmark Results

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