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 891–900 of 15113 papers

Title	Date	Tasks	Status	Hype
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning	Sep 29, 2023	Image GenerationOffline RL	CodeCode Available	1
Conservative Offline Distributional Reinforcement Learning	Jul 12, 2021	D4RLDistributional Reinforcement Learning	CodeCode Available	1
Conservative Q-Learning for Offline Reinforcement Learning	Jun 8, 2020	continuous-controlContinuous Control	CodeCode Available	1
Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program	Aug 16, 2024	Reinforcement Learning (RL)	CodeCode Available	1
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning	Jun 10, 2025	Large Language Modelreinforcement-learning	CodeCode Available	1
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning	Mar 3, 2020	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Adversarial Deep Reinforcement Learning in Portfolio Management	Aug 29, 2018	Deep Reinforcement LearningManagement	CodeCode Available	1
Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning	Feb 26, 2024	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies	Dec 22, 2021	Autonomous DrivingDeep Reinforcement Learning	CodeCode Available	1
Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators	Apr 8, 2021	Deep Reinforcement Learningreinforcement-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