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 1401–1410 of 15113 papers

Title	Date	Tasks	Status	Hype	Score
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 Asymmetric Multi-task Reinforcement Learning	Nov 7, 2022	Multi-Task Learningreinforcement-learning	CodeCode Available	1	5
Exploration via Elliptical Episodic Bonuses	Oct 11, 2022	Reinforcement Learning (RL)	CodeCode Available	1	5
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation	Oct 18, 2022	Domain Adaptationreinforcement-learning	CodeCode Available	1	5
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL	Mar 16, 2022	continuous-controlContinuous Control	CodeCode Available	1	5
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning	Sep 21, 2022	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
DARTS: Differentiable Architecture Search	Jun 24, 2018	General Classificationimage-classification	CodeCode Available	1	5
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices	Aug 6, 2020	Meta Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
A Workflow for Offline Model-Free Robotic Reinforcement Learning	Sep 22, 2021	Offline RLreinforcement-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