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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/CMVS-Lab/SAC-Residual-Fusion-CARLA

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Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/CN-TU/reinforcement-learning-for-per-flow-buffer-sizing

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LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning

https://github.com/CODE-SUBMIT/simulator1

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Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes

https://github.com/CORE-Robotics-Lab/ProLoNets

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Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning

https://github.com/CPJKU/score_following_game

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Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game

https://github.com/CPS-TUWien/racing_dreamer

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Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

https://github.com/ChanganVR/RelationalGraphLearning

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Relational Graph Learning for Crowd Navigation

https://github.com/CoAxLab/azad

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Combining imagination and heuristics to learn strategies that generalize

https://github.com/Collins-Ogbodo/DT-SS

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Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins

https://github.com/DSS-lab/DRLCyberAssessment_DQNCode

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Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems

https://github.com/Damcy/cascadeLSTMDRL

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Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue

https://github.com/DanieleGammelli/gnn-rl-for-amod

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Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

https://github.com/DarkDawn233/D2R_MTRL

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Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

https://github.com/Dasudian/Curvetime

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Blockchain Framework for Artificial Intelligence Computation

https://github.com/Deepakgthomas/TSM_RL

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Temporal Shift Reinforcement Learning

https://github.com/Denys88/rl_games

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DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

https://github.com/DonsetPG/fenics-DRL

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A review on Deep Reinforcement Learning for Fluid Mechanics

https://github.com/DonsetPG/narya

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Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning

https://github.com/Dtrycode/ToupleGDD

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ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning

https://github.com/EduardoGarrido90/micro_agents

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Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations

https://github.com/Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving

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Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

https://github.com/ElisevanderPol/mdp-homomorphic-networks

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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

https://github.com/EmptyJackson/groove

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Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

https://github.com/EndingCredits/Object-Based-RL

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Learning to Play General Video-Games via an Object Embedding Network

https://github.com/EricSteinberger/DREAM

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DREAM: Deep Regret minimization with Advantage baselines and Model-free learning

https://github.com/Eversee22/Policy-GNN

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Policy-GNN: Aggregation Optimization for Graph Neural Networks

https://github.com/FlemmingKondrup/DeepVent

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Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning

https://github.com/FortsAndMills/Learning-Reinforcement-Learning

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Modern Deep Reinforcement Learning Algorithms

https://github.com/GFNOrg/dt-gfn

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Learning Decision Trees as Amortized Structure Inference

https://github.com/GMU-vision-robotics/View-Invariant-Visual-Servoing-for-Navigation

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Learning View and Target Invariant Visual Servoing for Navigation

https://github.com/GhadaSokar/Dynamic-Sparse-Training-for-Deep-Reinforcement-Learning

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Dynamic Sparse Training for Deep Reinforcement Learning

https://github.com/GianlucaMaragliano/Adversarial_RL_XSS

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XSS Adversarial Attacks Based on Deep Reinforcement Learning: A Replication and Extension Study

https://github.com/Golchoubian/UncertaintyAware_DRL_CrowdNav

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Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space

https://github.com/Gongzhu-Society/MrIfOffline

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ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning

https://github.com/Gp1g/RFL

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FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

https://github.com/Grottoh/Deep-Active-Inference-for-Partially-Observable-MDPs

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Deep Active Inference for Partially Observable MDPs

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