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 511–520 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation	Oct 18, 2022	Domain Adaptationreinforcement-learning	CodeCode Available	1	5
DARTS: Differentiable Architecture Search	Jun 24, 2018	General Classificationimage-classification	CodeCode Available	1	5
CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning	Jan 1, 2020	Contrastive 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 Representations for Reinforcement Learning	Apr 8, 2020	Atari GamesAtari Games 100k	CodeCode Available	1	5
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach	Apr 24, 2020	Deep Reinforcement LearningFairness	CodeCode Available	1	5
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach	Apr 8, 2023	Reinforcement Learning (RL)Safe Reinforcement Learning	CodeCode Available	1	5
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models	Sep 27, 2024	Reinforcement Learning (RL)World Knowledge	CodeCode Available	1	5
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots	Mar 23, 2022	reinforcement-learningReinforcement 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