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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/christoffeldoorman/network-rewiring-rl

공식 코드

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning

https://github.com/chuduanfeng/charms

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CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving

https://github.com/ciroresearch/cirl

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CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero

https://github.com/cjy1992/interp-e2e-driving

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Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

https://github.com/ckonicki-umich/AAMAS25

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Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO

https://github.com/ckorbach/nbv_rl

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Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

https://github.com/ckrk/bidding_learning

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Computational Performance of Deep Reinforcement Learning to find Nash Equilibria

https://github.com/clarkkev/deep-coref

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Deep Reinforcement Learning for Mention-Ranking Coreference Models

https://github.com/clis-wpi/ol-beam-switching-6g

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Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience

https://github.com/coco66/ttenv

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Learning to Track Dynamic Targets in Partially Known Environments

https://github.com/cog-isa/forger

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Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

https://github.com/cogneuroai/rl-with-scale-invariant-memory

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Deep reinforcement learning with time-scale invariant memory

https://github.com/cognitiveaisystems/mapf-gpt

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MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale

https://github.com/coladog/tinyagent

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CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning

https://github.com/combra-lab/pop-spiking-deep-rl

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Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

https://github.com/combra-lab/spiking-ddpg-mapless-navigation

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Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware

https://github.com/compsciencelab/ppo_D

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Guided Exploration with Proximal Policy Optimization using a Single Demonstration

https://github.com/compsoftmatterbiophysics-cityu-hk/applying-drl-to-hp-model-for-protein-structure-prediction

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Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction

https://github.com/conglu1997/SynthER

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Synthetic Experience Replay

https://github.com/conglu1997/nppac

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On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

https://github.com/crazorback/aadg

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AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation

https://github.com/cselab/smarties

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Remember and Forget for Experience Replay

https://github.com/csgwon/AWS-RL-Env

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Automated Cloud Provisioning on AWS using Deep Reinforcement Learning

https://github.com/csiro-mlai/RL-BOED

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Optimizing Sequential Experimental Design with Deep Reinforcement Learning

https://github.com/cts198859/deeprl_signal_control

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Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

https://github.com/cuayahuitl/SimpleDS

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Strategic Dialogue Management via Deep Reinforcement Learning

https://github.com/cure-lab/deeptpi

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DeepTPI: Test Point Insertion with Deep Reinforcement Learning

https://github.com/cvc-lab/rse_rl

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Reinforcement Learning of Self Enhancing Camera Image and Signal Processing

https://github.com/cviaai/dasha

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DASHA: Decentralized Autofocusing System with Hierarchical Agents

https://github.com/cyberphantom/Selfie-Drone-Stick

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Selfie Drone Stick: A Natural Interface for Quadcopter Photography

https://github.com/cycraig/MP-DQN

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Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

https://github.com/cyrushx/risk_sac

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Risk Conditioned Neural Motion Planning

https://github.com/dadecampo/SafeRLAUV

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Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning

https://github.com/dailyl/sim2real_autonomous_vehicle

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A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving

https://github.com/dair-iitd/torpido

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Transfer of Deep Reactive Policies for MDP Planning

https://github.com/dakout/convex_drl

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Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning

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