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 551–560 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
Curriculum-based Asymmetric Multi-task Reinforcement Learning	Nov 7, 2022	Multi-Task Learningreinforcement-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
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration	Mar 8, 2022	Decision Makingreinforcement-learning	CodeCode Available	1	5
D2RL: Deep Dense Architectures in Reinforcement Learning	Oct 19, 2020	reinforcement-learningReinforcement Learning	CodeCode Available	1	5
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments	Nov 7, 2021	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1	5
Asset Allocation: From Markowitz to Deep Reinforcement Learning	Jul 14, 2022	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Curious Hierarchical Actor-Critic Reinforcement Learning	May 7, 2020	BenchmarkingHierarchical Reinforcement Learning	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
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL	May 26, 2025	Reinforcement Learning (RL)Specificity	CodeCode Available	1	5
CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning	Jan 1, 2020	Contrastive 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