https://github.com/UMich-ML-Group/RL-Ridesharing
공식 코드Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
Papers with Code 아카이브
Reinforcement Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/USTC-IMCL/Task-driven-Semantic-Coding-via-RL
공식 코드https://github.com/UT-Austin-RPL/maple
공식 코드Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
https://github.com/Uchman21/MLGW
공식 코드Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
https://github.com/Unakar/Logic-RL
공식 코드Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
https://github.com/Unity-Technologies/marathon-envs
공식 코드Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
https://github.com/Unity-Technologies/ml-agents
공식 코드https://github.com/UoA-CARES/cares_reinforcement_learning/blob/main/cares_reinforcement_learning/algorithm/policy/CTD4.py
공식 코드CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
https://github.com/UofT-EcoSystem/rlscope
공식 코드RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
https://github.com/Usama1002/EBE-Exploration
공식 코드https://github.com/VDIGPKU/DADA
공식 코드https://github.com/Vandermode/TFPnP
공식 코드TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
https://github.com/VanillaWhey/OCAtariWrappers
공식 코드https://github.com/VidhushiniSrinivasan16/ICMLA
공식 코드Natural Language Generation Using Reinforcement Learning with External Rewards
https://github.com/VinF/deer
공식 코드Combined Reinforcement Learning via Abstract Representations
https://github.com/VittorioGiammarino/Learning-from-humans-combining-imitation-and-deep-on-policy-reinforcement-learning-to-accomplish-su
공식 코드https://github.com/VittorioGiammarino/Online_BWforHIL
공식 코드Online Baum-Welch algorithm for Hierarchical Imitation Learning
https://github.com/VowpalWabbit/slope-experiments
공식 코드https://github.com/Vvrep/MASTER-electric_vehicle_charging_recommendation
공식 코드Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
https://github.com/WMGDataScience/gym_wmgds
공식 코드Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
https://github.com/WMGDataScience/sldr
공식 코드Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
https://github.com/Wei9711/GACG
공식 코드Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
https://github.com/WendyShang/dqn_zoo
공식 코드https://github.com/WendyShang/flare
공식 코드https://github.com/WenhangBao/Multi-Agent-RL-for-Liquidation
공식 코드Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
https://github.com/Wenqi-Cui/Lyapunov-Regularized-RL
공식 코드Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability
https://github.com/Wenqi-Cui/RNN-RL-Frequency-Lyapunov
공식 코드Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov Approach
https://github.com/WentseChen/Soft-QMIX
공식 코드Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization
https://github.com/Wenxuan-Zhou/EPI
공식 코드https://github.com/WilsonWangTHU/POPLIN
공식 코드https://github.com/Wisteria30/GIM-RL
공식 코드https://github.com/WolfgangKonen/PapersWithCodeOthello
공식 코드AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time
https://github.com/WonderSeven/DeepAugNet
공식 코드Automatic Data Augmentation by Learning the Deterministic Policy
https://github.com/Wu-duanduan/MPC_based-RL
공식 코드Model predictive control-based value estimation for efficient reinforcement learning
https://github.com/Wu-duanduan/Swarm_confrontation_HRL
공식 코드Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
https://github.com/WuJie1010/TSP-PRL
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.