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 2021–2030 of 15113 papers

Title	Date	Tasks	Status	Hype
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning	Jul 9, 2020	Deep Reinforcement LearningDiversity	CodeCode Available	1
SuperSuit: Simple Microwrappers for Reinforcement Learning Environments	Aug 17, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
A Composable Specification Language for Reinforcement Learning Tasks	Aug 21, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning	Aug 30, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games	Jul 27, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Combinatorial Optimization with Policy Adaptation using Latent Space Search	Nov 13, 2023	BenchmarkingCombinatorial Optimization	CodeCode Available	1
Symbolic Distillation for Learned TCP Congestion Control	Oct 24, 2022	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition	Sep 25, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Learning to combine primitive skills: A step towards versatile robotic manipulation	Aug 2, 2019	Data AugmentationImitation Learning	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