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Reinforcement Learning (RL)

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하위 태스크: 6
평가표: 2
보존된 평가 기록: 3

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

코드

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

https://github.com/WMGDataScience/sldr

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Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations

https://github.com/WUR-AI/CropGym-ToMeasureOrNot

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To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning

https://github.com/WendyShang/dqn_zoo

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Reinforcement Learning with Latent Flow

https://github.com/WendyShang/flare

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Reinforcement Learning with Latent Flow

https://github.com/WenhangBao/Multi-Agent-RL-for-Liquidation

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Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis

https://github.com/Wenqi-Cui/Lyapunov-Regularized-RL

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Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability

https://github.com/Wenqi-Cui/RNN-RL-Frequency-Lyapunov

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Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov Approach

https://github.com/WentseChen/Soft-QMIX

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Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization

https://github.com/Wenxuan-Zhou/EPI

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Environment Probing Interaction Policies

https://github.com/Western-OC2-Lab/TRL-HPO

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Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments

https://github.com/Wisteria30/GIM-RL

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Generic Itemset Mining Based on Reinforcement Learning

https://github.com/WolfLo/optimist

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Conservative Optimistic Policy Optimization via Multiple Importance Sampling

https://github.com/WuJie1010/TSP-PRL

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Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video

https://github.com/XanderJC/scalable-birl

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Scalable Bayesian Inverse Reinforcement Learning

https://github.com/XiaoxiaoGuo/fashion-retrieval

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Dialog-based Interactive Image Retrieval

https://github.com/XiaoxiaoGuo/rcdqn

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Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

https://github.com/XiaoxiaoGuo/tensor4rl

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Hybrid Reinforcement Learning with Expert State Sequences

https://github.com/Xin-Ye-1/HRL-GRG

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Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph

https://github.com/Xingyu-Lin/softgym

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SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

https://github.com/XinhaoMei/DCASE2021_task6_v2

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An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning

https://github.com/XuGW-Kevin/DrM

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DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

https://github.com/YanjieZe/rl3d

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Visual Reinforcement Learning with Self-Supervised 3D Representations

https://github.com/YaoMarkMu/DOMINO_MB-MetaRL

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Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

https://github.com/YaoYao1995/MEEE

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Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation

https://github.com/YijiongLin/ITER_KER_GER

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Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

https://github.com/YingtongDou/CARE-GNN

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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

https://github.com/YingtongDou/Nash-Detect

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Robust Spammer Detection by Nash Reinforcement Learning

https://github.com/YiqinYang/BOORL

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Bayesian Design Principles for Offline-to-Online Reinforcement Learning

https://github.com/YoshikiKubotani/rltutor

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RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions

https://github.com/YoungXiyuan/DCA

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Learning Dynamic Context Augmentation for Global Entity Linking

https://github.com/Yuantian013/E2GAN

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Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

https://github.com/YufanChang/Optimal-Adaptive-Prediciton-Interval

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Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning

https://github.com/Yufei-Xiang/Retrospex

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Retrospex: Language Agent Meets Offline Reinforcement Learning Critic

https://github.com/YuhangSong/DEHRL

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Diversity-Driven Extensible Hierarchical Reinforcement Learning

https://github.com/YuhangSong/DHP

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Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

https://github.com/YuhangSong/GTN

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Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning

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