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 1231–1240 of 15113 papers

Title	Date	Tasks	Status	Hype
Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS	Oct 26, 2019	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning	Oct 31, 2020	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks	Jun 14, 2020	BenchmarkingDeep Reinforcement Learning	CodeCode Available	1
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning	Mar 8, 2021	CPUreinforcement-learning	CodeCode Available	1
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning	Feb 8, 2022	Diversityreinforcement-learning	CodeCode Available	1
De novo PROTAC design using graph-based deep generative models	Nov 4, 2022	Reinforcement Learning (RL)	CodeCode Available	1
Visual Grounding for Object-Level Generalization in Reinforcement Learning	Aug 4, 2024	Language ModellingObject	CodeCode Available	1
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)	Apr 6, 2021	Mathreinforcement-learning	CodeCode Available	1
Improving Planning with Large Language Models: A Modular Agentic Architecture	Sep 30, 2023	In-Context LearningReinforcement Learning (RL)	CodeCode Available	1
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations	Sep 17, 2020	Evolutionary AlgorithmsReinforcement Learning (RL)	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