Pinned Repositories
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.
Practical_RL
A course in reinforcement learning in the wild
StarCraft-AI
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
WeTS
A benchmark for the task of translation suggestion
nanxintin's Repositories
nanxintin/StarCraft-AI
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
nanxintin/deep-reinforcement-learning
Reinforcement Learning and Deep Learning Resources
nanxintin/Practical_RL
A course in reinforcement learning in the wild
nanxintin/WeTS
A benchmark for the task of translation suggestion
nanxintin/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
nanxintin/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
nanxintin/drl-research
deep reinforcement learning research
nanxintin/flow
Computational framework for reinforcement learning in traffic control
nanxintin/gym
A toolkit for developing and comparing reinforcement learning algorithms.
nanxintin/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/nanxintin.github.io
nanxintin's blogs
nanxintin/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.
nanxintin/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
nanxintin/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
nanxintin/ViZDoom
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode: