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

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Showing 961–970 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning	Feb 6, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors	Sep 26, 2024	continuous-controlContinuous Control	CodeCode Available	1	5
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control	Mar 6, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning	Mar 28, 2022	Distributional Reinforcement LearningDrone navigation	CodeCode Available	1	5
Active Exploration for Inverse Reinforcement Learning	Jul 18, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Curious Hierarchical Actor-Critic Reinforcement Learning	May 7, 2020	BenchmarkingHierarchical Reinforcement Learning	CodeCode Available	1	5
CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning	Jan 1, 2020	Contrastive Learningreinforcement-learning	CodeCode Available	1	5
DittoGym: Learning to Control Soft Shape-Shifting Robots	Jan 24, 2024	Reinforcement Learning (RL)	CodeCode Available	1	5
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs	Jul 24, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available	1	5

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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