wangncs's Stars
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
tensorflow/examples
TensorFlow examples
anders94/blockchain-demo
A web-based demonstration of blockchain concepts.
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
TrickyGo/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
wwxFromTju/awesome-reinforcement-learning-zh
中文整理的强化学习资料(Reinforcement Learning)
microsoft/maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
satwikkansal/python_blockchain_app
A fully functional blockchain application implemented in Python from scratch (with tutorial).
hardmaru/slimevolleygym
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
xuehy/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
tkn-tub/ns3-gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
Hanjun-Dai/graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
higgsfield/np-hard-deep-reinforcement-learning
pytorch neural combinatorial optimization
swordest/mec_drl
Deep reinforcement learning for mobile edge computing
mohammadasghari/dqn-multi-agent-rl
Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
nikhilbarhate99/Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
isp1tze/MAProj
Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
ucla-labx/distbelief
Implementing Google's DistBelief paper
namidairo777/Distributed-MADDPG
Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
skumar9876/Hierarchical-DQN
Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf
tomdbar/eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
chuangyc/awesome-multiagent-learning
A curated list of multiagent learning and related area resources.
FRL2019/FRL
tocom242242/nash_q_learning
Nash Q Learning
user432/DeepRL-in-PyTorch
Minimal Implementation of Deep RL Algorithms in PyTorch
qiaochen/DDPG_MultiAgent
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
theresearchai/energy_management_rl
MIDS Capstone Project, Duke University, 2021