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Q-Learning

The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

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Showing 1–25 of 1918 papers

TitleStatusHype
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency PolicyCode3
Flow Q-LearningCode3
Streaming Deep Reinforcement Learning Finally WorksCode3
Simplifying Deep Temporal Difference LearningCode3
Digi-Q: Learning Q-Value Functions for Training Device-Control AgentsCode2
Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative TradingCode2
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
Ensembling Prioritized Hybrid Policies for Multi-agent PathfindingCode2
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement LearningCode2
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyCode2
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement LearningCode2
Offline RL for Natural Language Generation with Implicit Language Q LearningCode2
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorchCode2
POPGym Arcade: Parallel Pixelated POMDPsCode1
Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone ConnectivityCode1
Reward-free World Models for Online Imitation LearningCode1
Reinforcement Learning in High-frequency Market MakingCode1
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting MitigationCode1
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-PerformerCode1
Strategically Conservative Q-LearningCode1
Towards Universal and Black-Box Query-Response Only Attack on LLMs with QROACode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
A Recipe for Unbounded Data Augmentation in Visual Reinforcement LearningCode1
Research on Robot Path Planning Based on Reinforcement LearningCode1
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