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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 2251–2260 of 15113 papers

Title	Date	Tasks	Status	Hype
Multiagent Cooperation and Competition with Deep Reinforcement Learning	Nov 27, 2015	Deep Reinforcement LearningQ-Learning	CodeCode Available	1
Prioritized Experience Replay	Nov 18, 2015	Atari Gamesreinforcement-learning	CodeCode Available	1
Deep Reinforcement Learning in Parameterized Action Space	Nov 13, 2015	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Deep Reinforcement Learning with Double Q-learning	Sep 22, 2015	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
Continuous control with deep reinforcement learning	Sep 9, 2015	Action Detectioncontinuous-control	CodeCode Available	1
Giraffe: Using Deep Reinforcement Learning to Play Chess	Sep 4, 2015	BIG-bench Machine LearningDeep Reinforcement Learning	CodeCode Available	1
Weight Uncertainty in Neural Networks	May 20, 2015	Bayesian InferenceGeneral Classification	CodeCode Available	1
Optimizing the CVaR via Sampling	Apr 15, 2014	reinforcement-learningReinforcement Learning	CodeCode Available	1
Scalable Planning and Learning for Multiagent POMDPs: Extended Version	Apr 4, 2014	reinforcement-learningReinforcement Learning	CodeCode Available	1
Off-Policy General Value Functions to Represent Dynamic Role Assignments in RoboCup 3D Soccer Simulation	Feb 18, 2014	Reinforcement LearningReinforcement Learning (RL)	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