jiangz's repositories
UAV-auto-navigation-and-object-tracking-based-on-RL
毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。
transformer-pytorch
PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).
airlearning-rl
Reinforcement learning algorithms for Algorithm, policy exploration in Air Learning
Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
Deep-math-machine-learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
MAVEN
Submission for MAVEN: Multi-Agent Variational Exploration
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
ostep-code
Code from various chapters in OSTEP (http://www.ostep.org)
planning_worlds_gazebo
Worlds to test planning algorithms in ROS/Gazebo
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
Tello-Python
This is a collection of python modules that interact with the Ryze Tello drone.
v2ray-core
A platform for building proxies to bypass network restrictions.