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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.

cs231n

Solutions to Stanford CS231n Spring 2018 Course Assignments.

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.

homework_fall2019

maven

Submission for MAVEN: Multi-Agent Variational Exploration

minidemo

multi-env

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

slambook

tello-python

This is a collection of python modules that interact with the Ryze Tello drone.

tello_ros

tello_video

transformer-pytorch

PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

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。

v2ray-core

A platform for building proxies to bypass network restrictions.