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 1171–1180 of 15113 papers

Title	Date	Tasks	Status	Hype
Building a 3-Player Mahjong AI using Deep Reinforcement Learning	Feb 25, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL	Feb 24, 2022	AllImitation Learning	CodeCode Available	1
Blockchain Framework for Artificial Intelligence Computation	Feb 23, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning	Feb 23, 2022	D4RLOffline RL	CodeCode Available	1
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics	Feb 23, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles	Feb 22, 2022	Deep Reinforcement Learningenergy management	CodeCode Available	1
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning	Feb 21, 2022	Data AugmentationDiversity	CodeCode Available	1
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation	Feb 18, 2022	Distributed ComputingMulti-agent Reinforcement Learning	CodeCode Available	1
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving	Feb 17, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Open-Ended Reinforcement Learning with Neural Reward Functions	Feb 16, 2022	Montezuma's Revengereinforcement-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