Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
code-for-paper
Paper《Implementation matters in deep policy gradients: a case study on PPO and TRPO》
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-Reinforcement-Learning-for-Solving-Job-Shop-Scheduling-Problems
DRL on JSSPs
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
SaneLYX's Repositories
SaneLYX/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
SaneLYX/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
SaneLYX/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
SaneLYX/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
SaneLYX/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
SaneLYX/easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
SaneLYX/ElegantRL
Cloud-native Deep Reinforcement Learning. 🔥
SaneLYX/End-to-end-DRL-for-FJSP
Paper《A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem》
SaneLYX/fjsp-drl
Paper《Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning》
SaneLYX/keras
Deep Learning for humans
SaneLYX/L2D
Paper《Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning》
SaneLYX/lihang-code
《统计学习方法》的代码实现
SaneLYX/MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
SaneLYX/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
SaneLYX/MASA-QMIX
Paper《Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning》
SaneLYX/Multi-Agent-Transformer
Paper《Multi-Agent Reinforcement Learning is a Sequence Modeling Problem》
SaneLYX/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
SaneLYX/noisy-mappo
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
SaneLYX/on-policy
Paper《The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games》
SaneLYX/or-tools
Google's Operations Research tools:
SaneLYX/pumpkin-book
《机器学习》（西瓜书）公式详解
SaneLYX/pymarl
Python Multi-Agent Reinforcement Learning framework
SaneLYX/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
SaneLYX/Reinforcement-Implementation
Implementation of benchmark RL algorithms
SaneLYX/RoutingProblemGANN
Paper《Solve routing problems with a residual edge-graph attention neural network》
SaneLYX/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
SaneLYX/tensorflow
An Open Source Machine Learning Framework for Everyone
SaneLYX/tianshou
An elegant PyTorch deep reinforcement learning library.
SaneLYX/TRPO-in-MARL
Paper《Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning》
SaneLYX/TSP_Att-GCRN-MCTS
Paper《Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances》