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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1741–1750 of 15113 papers

Title	Date	Tasks	Status	Hype
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network	Nov 12, 2020	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	1
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning	Sep 7, 2021	BIG-bench Machine LearningDeep Reinforcement Learning	CodeCode Available	1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	May 24, 2023	Offline RLReinforcement Learning (RL)	CodeCode Available	1
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach	Apr 8, 2023	Reinforcement Learning (RL)Safe Reinforcement Learning	CodeCode Available	1
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems	Nov 24, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	1
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion	Dec 11, 2021	MuJoCoreinforcement-learning	CodeCode Available	1
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction	Dec 31, 2019	Generalization BoundsLearning Theory	CodeCode Available	1
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning	Oct 21, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
PantheonRL: A MARL Library for Dynamic Training Interactions	Dec 13, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Collision Probability Distribution Estimation via Temporal Difference Learning	Jul 29, 2024	AI AgentAutonomous Driving	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPG	Mean Normalized Performance	0.76	—	Unverified
2	PPO	Mean Normalized Performance	0.58	—	Unverified