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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

Title	Date	Tasks	Status	Hype
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation	Jul 1, 2021	Data AugmentationQ-Learning	CodeCode Available	1
Distilling Reinforcement Learning Tricks for Video Games	Jul 1, 2021	Q-Learningreinforcement-learning	CodeCode Available	1
Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent	Jun 29, 2021	Q-Learning	CodeCode Available	1
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation	Jun 23, 2021	Continuous ControlQ-Learning	CodeCode Available	1
IQ-Learn: Inverse soft-Q Learning for Imitation	Jun 23, 2021	Atari GamesContinuous Control	CodeCode Available	1
Distributed Heuristic Multi-Agent Path Finding with Communication	Jun 21, 2021	Multi-Agent Path FindingQ-Learning	CodeCode Available	1
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data	Jun 14, 2021	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
TempoRL: Learning When to Act	Jun 9, 2021	Continuous ControlQ-Learning	CodeCode Available	1
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning	Jun 7, 2021	Multi-agent Reinforcement LearningOffline RL	CodeCode Available	1
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning	May 31, 2021	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning	May 17, 2021	Offline RLQ-Learning	CodeCode Available	1
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation	May 4, 2021	Bayesian OptimizationQ-Learning	CodeCode Available	1
Optimal Market Making by Reinforcement Learning	Apr 8, 2021	Q-Learningreinforcement-learning	CodeCode Available	1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Feb 16, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19	Feb 9, 2021	BenchmarkingQ-Learning	CodeCode Available	1
Acting in Delayed Environments with Non-Stationary Markov Policies	Jan 28, 2021	Cloud ComputingQ-Learning	CodeCode Available	1
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model	Jan 15, 2021	MuJoCoQ-Learning	CodeCode Available	1
Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents	Jan 8, 2021	Q-Learningreinforcement-learning	CodeCode Available	1
Multi-Agent Trust Region Learning	Jan 1, 2021	Atari GamesMuJoCo	CodeCode Available	1
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem	Dec 8, 2020	Combinatorial OptimizationQ-Learning	CodeCode Available	1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?	Dec 1, 2020	Feature EngineeringQ-Learning	CodeCode Available	1
Adaptive Contention Window Design using Deep Q-learning	Nov 18, 2020	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls	Oct 27, 2020	continuous-controlContinuous Control	CodeCode Available	1
Learning Guidance Rewards with Trajectory-space Smoothing	Oct 23, 2020	AttributeDeep Reinforcement Learning	CodeCode Available	1
Multi-Agent Collaboration via Reward Attribution Decomposition	Oct 16, 2020	Dota 2Multi-agent Reinforcement Learning	CodeCode Available	1

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