Pusen's repositories
airlearning
Public repository for Air Learning project
awesome-deep-rl
For deep RL and the future of AI.
awesome-deep-rl-1
A curated list of awesome Deep Reinforcement Learning resources.
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
MulticopterSim
Simple C++ cross-platform Multirotor flight simulator using UnrealEngine4
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
Practical_RL
A course in reinforcement learning in the wild
PublicCourse
Homeworks for public courses.
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).
Qwiic_TCA9548A_Py
Python package for the Qwiic Mux Breakout - 8 Channel (TCA9548A)
rainbow-iqn-apex
Distributed Rainbow-IQN for Atari
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
rotors_simulator
RotorS is a UAV gazebo simulator
SOTA-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB