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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 76–100 of 1918 papers

TitleStatusHype
Deep Recurrent Q-Learning for Partially Observable MDPsCode1
Acting in Delayed Environments with Non-Stationary Markov PoliciesCode1
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningCode1
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari GamesCode1
Gradient Temporal-Difference Learning with Regularized CorrectionsCode1
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous ControlsCode1
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion PoliciesCode1
Automated Cloud Provisioning on AWS using Deep Reinforcement LearningCode1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?Code1
Backprop-Free Reinforcement Learning with Active Neural Generative CodingCode1
Reinforcement Learning in High-frequency Market MakingCode1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement LearningCode1
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19Code1
Benchmarking Batch Deep Reinforcement Learning AlgorithmsCode1
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the PastCode1
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement LearningCode1
Boosting Continuous Control with Consistency PolicyCode1
MAN: Multi-Action Networks LearningCode1
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement LearningCode1
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via DiscretisationCode1
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
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement LearningCode1
A Stochastic Game Framework for Efficient Energy Management in Microgrid NetworksCode1
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