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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

Showing 150 of 1918 papers

TitleStatusHype
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency PolicyCode3
Streaming Deep Reinforcement Learning Finally WorksCode3
Simplifying Deep Temporal Difference LearningCode3
Flow Q-LearningCode3
Ensembling Prioritized Hybrid Policies for Multi-agent PathfindingCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
Offline RL for Natural Language Generation with Implicit Language Q LearningCode2
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherCode2
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement LearningCode2
Digi-Q: Learning Q-Value Functions for Training Device-Control AgentsCode2
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyCode2
Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative TradingCode2
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorchCode2
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement LearningCode2
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
Distributed Heuristic Multi-Agent Path Finding with CommunicationCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
Discriminator Soft Actor Critic without Extrinsic RewardsCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
Distilling Reinforcement Learning Tricks for Video GamesCode1
Extreme Q-Learning: MaxEnt RL without EntropyCode1
Deep Inverse Q-learning with ConstraintsCode1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
Continuous Deep Q-Learning with Model-based AccelerationCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionCode1
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via DiscretisationCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement LearningCode1
Conservative Q-Learning for Offline Reinforcement LearningCode1
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19Code1
Backprop-Free Reinforcement Learning with Active Neural Generative CodingCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
Benchmarking Batch Deep Reinforcement Learning AlgorithmsCode1
Acting in Delayed Environments with Non-Stationary Markov PoliciesCode1
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-TuningCode1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?Code1
Boosting Continuous Control with Consistency PolicyCode1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman ProblemCode1
Reinforcement Learning in High-frequency Market MakingCode1
Continuous control with deep reinforcement learningCode1
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
Deep Active Inference for Partially Observable MDPsCode1
Deep Reinforcement Learning with Double Q-learningCode1
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial DetectionCode1
A Recipe for Unbounded Data Augmentation in Visual Reinforcement LearningCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
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