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Reinforcement Learning

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코드

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

https://github.com/liamhebert/FedFormer

공식 코드

FedFormer: Contextual Federation with Attention in Reinforcement Learning

https://github.com/liangxinedu/MDAM

공식 코드

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

https://github.com/liaomengqi/e3-rl4llms

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Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs

https://github.com/libgoncalv/sharpie

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SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments

https://github.com/libowen2121/Imitation-Learning-for-Unsup-Parsing

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An Imitation Learning Approach to Unsupervised Parsing

https://github.com/licong-lin/in-context-rl

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Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

https://github.com/lifelong-learning-systems/l2explorer

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L2Explorer: A Lifelong Reinforcement Learning Assessment Environment

https://github.com/lifelong-ml/composuite

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CompoSuite: A Compositional Reinforcement Learning Benchmark

https://github.com/lifelong-ml/elirl

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Lifelong Inverse Reinforcement Learning

https://github.com/lifelong-ml/mendez2022modularlifelongrl

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Modular Lifelong Reinforcement Learning via Neural Composition

https://github.com/lifelong-ml/offline-compositional-rl-datasets

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Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning

https://github.com/ligerfotis/M2CURL

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M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation

https://github.com/lijunsun90/pursuitfsc2

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

https://github.com/lil-lab/drif

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Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight

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/lilucse/Normalization-Enhances-Generalization-in-Visual-Reinforcement-Learning

공식 코드

Normalization Enhances Generalization in Visual Reinforcement Learning

https://github.com/lily-x/combinatorial-rmab

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Reinforcement learning with combinatorial actions for coupled restless bandits

https://github.com/lily-x/mirror

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Robust Reinforcement Learning Under Minimax Regret for Green Security

https://github.com/limbo018/dreamplace

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MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

https://github.com/limengbinggz/cusum-rl

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Testing Stationarity and Change Point Detection in Reinforcement Learning

https://github.com/limmen/csle

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Learning Security Strategies through Game Play and Optimal Stopping

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/linkangheng/pr1

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Perception-R1: Pioneering Perception Policy with 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/linlinlin97/mediationrl

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A Reinforcement Learning Framework for Dynamic Mediation Analysis

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/lionelblonde/giwr-pytorch

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Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning

https://github.com/liruiluo/nsrl-vision-pub

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End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations

https://github.com/lisaoakley/flipit-simulation

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QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game

https://github.com/lisaoakley/gym-flipit

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QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game

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