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
Online and Offline Reinforcement Learning by Planning with a Learned Model	Apr 13, 2021	Atari GamesContinuous Control	CodeCode Available	1
A coevolutionary approach to deep multi-agent reinforcement learning	Apr 12, 2021	Atari GamesDecision Making	CodeCode Available	1
CropGym: a Reinforcement Learning Environment for Crop Management	Apr 9, 2021	ManagementOpenAI Gym	CodeCode Available	1
A Reinforcement Learning Environment For Job-Shop Scheduling	Apr 8, 2021	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Optimal Market Making by Reinforcement Learning	Apr 8, 2021	Q-Learningreinforcement-learning	CodeCode Available	1
Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems	Apr 8, 2021	Autonomous NavigationDeep Reinforcement Learning	CodeCode Available	1
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks	Apr 8, 2021	graph partitioningreinforcement-learning	CodeCode Available	1
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics	Apr 7, 2021	Reinforcement Learning (RL)	CodeCode Available	1
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)	Apr 6, 2021	Mathreinforcement-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