https://github.com/SunwardTree/TDDPG-Rec
공식 코드A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
Papers with Code 아카이브
Deep Reinforcement Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/TIERS/NoisyKukaReacher
공식 코드Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
https://github.com/TILOS-AI-Institute/MacroPlacement
공식 코드https://github.com/Tencent/TStarBots
공식 코드TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
공식 코드An Application of Deep Reinforcement Learning to Algorithmic Trading
https://github.com/Thinklab-SJTU/awesome-ml4co
공식 코드Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
https://github.com/TimSalimans/weight_norm
공식 코드Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
https://github.com/Tinker-Twins/MARL-Simulator
공식 코드Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
https://github.com/UCLA-StarAI/Analogous-Disentangled-Actor-Critic
공식 코드Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
https://github.com/UT-Austin-RPL/maple
공식 코드Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
https://github.com/Unity-Technologies/marathon-envs
공식 코드Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
https://github.com/UofT-EcoSystem/rlscope
공식 코드RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
https://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/VittorioGiammarino/Learning-from-humans-combining-imitation-and-deep-on-policy-reinforcement-learning-to-accomplish-su
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/WenhangBao/Multi-Agent-RL-for-Liquidation
공식 코드Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
https://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/Swarm_confrontation_HRL
공식 코드Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
https://github.com/Xingyu-Lin/softgym
공식 코드SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
https://github.com/YaoYao1995/MEEE
공식 코드Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
https://github.com/YijiongLin/ITER_KER_GER
공식 코드Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
https://github.com/YuhangSong/DHP
공식 코드Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
https://github.com/YunqiuXu/SHA-KG
공식 코드Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
https://github.com/YunzhuLi/PropNet
공식 코드Propagation Networks for Model-Based Control Under Partial Observation
https://github.com/Yusufma03/CVRL
공식 코드Contrastive Variational Reinforcement Learning for Complex Observations
https://github.com/Yusufma03/DPFRL
공식 코드Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
https://github.com/YyzHarry/SV-RL
공식 코드Harnessing Structures for Value-Based Planning and Reinforcement Learning
https://github.com/Z-T-WANG/DeepReinforcementLearningControlOfQuantumCartpoles
공식 코드https://github.com/ZINZINBIN/Fusion-Reactor-Design-Project
공식 코드Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
https://github.com/ZexinLi0w0/R3
공식 코드R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
https://github.com/ZhengyaoJiang/NLRL
공식 코드https://github.com/ZhengyaoJiang/PGPortfolio
공식 코드Cryptocurrency Portfolio Management with Deep Reinforcement Learning
https://github.com/ZhengyaoJiang/graphbackup
공식 코드Graph Backup: Data Efficient Backup Exploiting Markovian Transitions
https://github.com/ZikangXiong/MFNLF
공식 코드Model-free Neural Lyapunov Control for Safe Robot Navigation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.