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 1531–1540 of 15113 papers

Title	Date	Tasks	Status	Hype
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Learning of Parameters in Behavior Trees for Movement Skills	Sep 27, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Learning Q-network for Active Information Acquisition	Oct 23, 2019	reinforcement-learningReinforcement Learning	CodeCode Available	1
Learning Rewards from Linguistic Feedback	Sep 30, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs	Feb 23, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning	Mar 8, 2021	CPUreinforcement-learning	CodeCode Available	1
Learning the Next Best View for 3D Point Clouds via Topological Features	Mar 4, 2021	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning	Nov 12, 2019	Combinatorial OptimizationGraph Embedding	CodeCode Available	1
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay	Jul 12, 2020	Deep Reinforcement LearningMuJoCo	CodeCode Available	1
Combinatorial Optimization with Policy Adaptation using Latent Space Search	Nov 13, 2023	BenchmarkingCombinatorial Optimization	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