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 901–910 of 15113 papers

Title	Date	Tasks	Status	Hype
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations	Jun 17, 2020	Deep Reinforcement LearningHierarchical Reinforcement Learning	CodeCode Available	1
ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research	Dec 4, 2020	OpenAI GymReinforcement Learning (RL)	CodeCode Available	1
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning	Dec 14, 2021	reinforcement-learningReinforcement Learning	CodeCode Available	1
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training	Jan 10, 2025	Reinforcement Learning (RL)	CodeCode Available	1
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning	May 21, 2025	Question AnsweringReinforcement Learning (RL)	CodeCode Available	1
Active Exploration for Inverse Reinforcement Learning	Jul 18, 2022	reinforcement-learningReinforcement Learning	CodeCode Available	1
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning	Jun 2, 2024	reinforcement-learningReinforcement Learning (RL)	CodeCode Available	1
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning	May 23, 2023	continuous-controlContinuous Control	CodeCode Available	1
A Modular Framework for Reinforcement Learning Optimal Execution	Aug 11, 2022	Algorithmic Tradingreinforcement-learning	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