Pinned Repositories
Coursera-Deep-Learning-deeplearning.ai
网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习
darknet
Convolutional Neural Networks
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DeepClustering
Methods and Implements of Deep Clustering
deepmind_MAS_enviroment
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
dirrtdg
Domination-Game
Competitive multi-agent game simulation environment for RL courses.
wang88256187's Repositories
wang88256187/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
wang88256187/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
wang88256187/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
wang88256187/DeepClustering
Methods and Implements of Deep Clustering
wang88256187/deepmind_MAS_enviroment
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
wang88256187/dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
wang88256187/egnn_pytorch
wang88256187/gym
A toolkit for developing and comparing reinforcement learning algorithms.
wang88256187/hello-world
wang88256187/learning_to_adapt
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
wang88256187/light_mappo
Lightweight version of MAPPO to help you quickly migrate to your local environment.
wang88256187/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
wang88256187/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
wang88256187/mat_offline
wang88256187/mate
MATE: the Multi-Agent Tracking Environment.
wang88256187/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
wang88256187/models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
wang88256187/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
wang88256187/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
wang88256187/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
wang88256187/pylab
just for test
wang88256187/pysc2-tutorial
Tutorials for building a PySC2 bot
wang88256187/QuaRL
QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
wang88256187/R2Plus1D-C3D
A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
wang88256187/remote_repo
wang88256187/REQNN
3D-Rotation-Equivariant Quaternion Neural Networks
wang88256187/RIE
wang88256187/smacv2
wang88256187/StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
wang88256187/wandb_tutorial
how to use wandb