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 10951–10975 of 15113 papers

TitleStatusHype
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
Reinforcement learning with human advice: a survey—0
Q-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks—0
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension—0
Novel Policy Seeking with Constrained OptimizationCode0
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks—0
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm—0
Learning and Reasoning for Robot Dialog and Navigation Tasks—0
Deep Reinforcement Learning for High Level Character Control—0
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise—0
A reinforcement learning based decision support system in textile manufacturing process—0
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization—0
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning—0
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning—0
Privileged Information Dropout in Reinforcement Learning—0
Reinforcement Learning for Caching with Space-Time Popularity Dynamics—0
Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning—0
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation—0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning—0
Learning Transferable Concepts in Deep Reinforcement Learning—0
A Simple Imitation Learning Method via Contrastive Regularization—0
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Benchmark Results

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