nanxintin Goto Github PK
Name: Kun Shao
Type: User
Company: Huawei Noah's Ark Lab
Bio: reinforcement learning, multi-agent system
Location: London
Kun Shao's Projects
deep-reinforcement-learning
Reinforcement Learning and Deep Learning Resources
deeprl-tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
drl-research
deep reinforcement learning research
flow
Computational framework for reinforcement learning in traffic control
gym
A toolkit for developing and comparing reinforcement learning algorithms.
icra2018_dji_rm_ai_challenge_njust
ICRA2018_DJI_RM_AI_CHALLENGE_NJUST is a stack for the research of RoboMaster AI challenge, developed by team Alliance at NJUST. This repository mainly focuses on the simulation part.
nanxintin.github.io
nanxintin's blogs
practical_rl
A course in reinforcement learning in the wild
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
rl-adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
rl-adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
starcraft-ai
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
vizdoom
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:
wets
A benchmark for the task of translation suggestion
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