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 1711–1720 of 15113 papers

Title	Date	Tasks	Status	Hype
Learning a Decentralized Multi-arm Motion Planner	Nov 5, 2020	Motion PlanningMulti-agent Reinforcement Learning	CodeCode Available	1
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning	Nov 4, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Generalization to New Actions in Reinforcement Learning	Nov 3, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1
Self-Driving Network and Service Coordination Using Deep Reinforcement Learning	Nov 2, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning	Nov 1, 2020	Multi-Task Learningreinforcement-learning	CodeCode Available	1
Game-Theoretic Multiagent Reinforcement Learning	Nov 1, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams	Oct 31, 2020	Combinatorial Optimizationreinforcement-learning	CodeCode Available	1
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks	Oct 31, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning	Oct 31, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning	Oct 30, 2020	Combinatorial Optimizationreinforcement-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