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Deep Reinforcement Learning

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코드

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

https://github.com/konatanaya/geometric-actor-critic

공식 코드

GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks

https://github.com/krzentner/language-world

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Conditionally Combining Robot Skills using Large Language Models

https://github.com/kth-flowai/advanceddeepreinforcementlearning_rbc_control

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Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality

https://github.com/kth-flowai/deepreinforcementlearning_rayleighbenard2d_control

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Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need

https://github.com/kth-flowai/drl_marl_rayleighbenard3d_control

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Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection

https://github.com/kurayuri/reinfier

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Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks

https://github.com/kwai/DouZero

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DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

https://github.com/kzbikowski/ProcessGym

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Deep Reinforcement Learning for Resource Allocation in Business Processes

https://github.com/lanyavik/BAIL

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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

https://github.com/lava-lab/cool-mc

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Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking

https://github.com/lava-lab/mc_pia

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Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking

https://github.com/lcmou/DRL4BS

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Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

https://github.com/lemutisme/dr-sac

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DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty

https://github.com/leokan92/pdppo

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A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks

https://github.com/leoranlmia/CAR-DQN

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Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error

https://github.com/lesley222/HJAILab-OPEN

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RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning

https://github.com/lethanh-96/tinyqmix-mtc

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TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning

https://github.com/leungsamwai/finite-expression-method

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Finite Expression Method for Solving High-Dimensional Partial Differential Equations

https://github.com/lfd/quantum-rl

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Uncovering Instabilities in Variational-Quantum Deep Q-Networks

https://github.com/lgraesser/MultimodalGame

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Emergent Linguistic Phenomena in Multi-Agent Communication Games

https://github.com/liangxinedu/MDAM

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Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

https://github.com/lijunsun90/pursuitfsc2

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Toward multi-target self-organizing pursuit in a partially observable Markov game

https://github.com/lili-chen/SEER

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Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

https://github.com/lilly-muyama/RWD-Anemia-Diagnostic-Pathways

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Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning

https://github.com/lilly-muyama/anemia_diagnosis_pathways

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Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning

https://github.com/lilly-muyama/deep_rl_diagnosis_pathways

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Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus

https://github.com/limbo018/dreamplace

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MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

https://github.com/lindamoraes/turtlebot-project

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Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques

https://github.com/linenus/DRL-For-imbalanced-Classification

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Deep Reinforcement Learning for Imbalanced Classification

https://github.com/linghengmeng/m_rl_pomdp

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Experimental Study on The Effect of Multi-step Deep Reinforcement Learning in POMDPs

https://github.com/link-zju/orl-auditor

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ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning

https://github.com/linkpark/metarl-offloading

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Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning

https://github.com/linzichuan/sdpo

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Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization

https://github.com/listar2000/gfn-sr

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GFN-SR: Symbolic Regression with Generative Flow Networks

https://github.com/lizzyhku/oasd

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Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning

https://github.com/llan-ml/tesp

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Meta Reinforcement Learning with Task Embedding and Shared Policy

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