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 1811–1820 of 15113 papers

Title	Date	Tasks	Status	Hype
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors	Jan 9, 2020	continuous-controlContinuous Control	CodeCode Available	1
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search	Dec 10, 2020	continuous-controlContinuous Control	CodeCode Available	1
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization	Jun 2, 2020	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Learning to combine primitive skills: A step towards versatile robotic manipulation	Aug 2, 2019	Data AugmentationImitation Learning	CodeCode Available	1
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games	Jul 27, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols	Feb 9, 2023	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning	Jul 12, 2022	Lifelong learningPolicy Gradient Methods	CodeCode Available	1
ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning	Mar 28, 2021	Imitation LearningPoint Cloud Registration	CodeCode Available	1
Combining Modular Skills in Multitask Learning	Feb 28, 2022	Instruction Followingreinforcement-learning	CodeCode Available	1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem	Dec 8, 2020	Combinatorial OptimizationQ-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