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Q-Learning

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

<span style="color:grey; opacity: 0.6">( Image credit: Playing Atari with Deep Reinforcement Learning )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/antoine-moulin/spoil

공식 코드

Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs

https://github.com/apple/ml-uwac

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Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

https://github.com/arnab39/EquivariantDQN

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Group Equivariant Deep Reinforcement Learning

https://github.com/arthurxlw/cytonRL

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CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++

https://github.com/asap7772/ptr

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Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

https://github.com/ashfaq1701/dqn-atari

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Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity

https://github.com/astooke/rlpyt

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rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

https://github.com/automl/TempoRL

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TempoRL: Learning When to Act

https://github.com/avb1597/the-impact-of-deck-size-q-learning-blackjack

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Variations on the Reinforcement Learning performance of Blackjack

https://github.com/aviralkumar2907/CQL

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Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/avishburamdoyal/the-impact-of-deck-size-q-learning-blackjack

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Variations on the Reinforcement Learning performance of Blackjack

https://github.com/az79nefy/OrdinalRL

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Deep Ordinal Reinforcement Learning

https://github.com/bach1292/KDD_Cup_2019_LOLS_Team

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Policy Learning for Malaria Control

https://github.com/bartbussmann/EmpathicDQN

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Towards Empathic Deep Q-Learning

https://github.com/baselm/cmarl

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A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture

https://github.com/basusourya/autoequivariant_networks

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Autoequivariant Network Search via Group Decomposition

https://github.com/baturaysaglam/ac-off-poc

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Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach

https://github.com/baturaysaglam/swtd3

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Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients

https://github.com/benliu31492/solving-reward-collecting-problems-with-uavs-a-comparison-of-online-optimization-and-q-learning

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Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning

https://github.com/biswajitsadhu/raddqn

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RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway

https://github.com/bluddy/lean_rl

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Robotic Surgery With Lean Reinforcement Learning

https://github.com/bolt-research/popgym_arcade

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POPGym Arcade: Parallel Pixelated POMDPs

https://github.com/bommehd/addq

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ADDQ: Adaptive Distributional Double Q-Learning

https://github.com/bva-bme/Controlled_DQN

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Deep Q-learning: a robust control approach

https://github.com/c0pep0d/rlfl0w

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A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows

https://github.com/cair/deep-warehouse

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Towards Model-based Reinforcement Learning for Industry-near Environments

https://github.com/cbellinger27/bendrl_reacher_tracker

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Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm

https://github.com/cccedric/conrft

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ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy

https://github.com/cccedric/cpql

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Boosting Continuous Control with Consistency Policy

https://github.com/ceciledecker/finiteqlearning

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Q-Learning under Finite Model Uncertainty

https://github.com/chakrabortyde/mujoco-control-tasks

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Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environment

https://github.com/chandar-lab/adaptive-hanabi

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Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

https://github.com/changchencc/plandq

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PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

https://github.com/chenli-lab/RL-Fairness

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Decoding fairness: a reinforcement learning perspective

https://github.com/chenli-lab/rl-cc

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Evolution of cooperation in a bimodal mixture of conditional cooperators

https://github.com/closest-git/gss

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Learning the Markov Decision Process in the Sparse Gaussian Elimination

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