aipla999's repositories
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
RL-Algorithms-by-Pytorch
Clean and robust implementations of Reinforcement Learning algorithms by Pytorch
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
EntryGuidance
multiple missiles cooperative hypersonic entry gandance law
gail-pytorch
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
hypersonic-reentry
Trajectory optimization of hypersonic reentry vehicle
missile_trajectory_simulator
This code is directly taken from Josh Levinger's Missile Trajectory simulator code. Modifications are by me only and will be to improve its utility for our applications. All credit should go to Josh Levinger of GlobalSecurity.org and Union of Concerned Scientists nuclear expert Dr. Dave Wright on which this code is based. You can find Josh's webpage and code at: https://github.com/jlev/ballistic-missile-range. Also his Readme page contains all relevant information as to the licensing of this code.
ml-agents
Unity Machine Learning Agents Toolkit
MockingBird
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
my_GPOPS
GPOPS_software
OrbitalTrajectories.jl
OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
PPO-and-AIRL-with-parallel-sampling
RL algorithm PPO and IRL algorithm AIRL written with Tensorflow. They have a parallel sampling feature in order to increase computation speed (especially in high-performance computing (HPC)).
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PyLGR
A basic Python implementation of a Legendre-Gauss-Radau pseudospectral method for computational optimal control.
ray_lightning
Pytorch Lightning Distributed Accelerators using Ray
raylab
Reinforcement learning algorithms in RLlib
recurrent-ppo-truncated-bptt
Baseline implementation of recurrent PPO using truncated BPTT
Reentry-Trajectory
This is an attempt to develop a code to obtain the reentry trajectory of a space vehicle which a certain velocity, altitude and rentry angle. There are many thing that can be included to make this more sophisticated and changes to obtain more accurate and real life results.
reinforcement-learning-trajectory-optimization
An AI agent that uses Deep Q-Networks and the DDPG algorithm to learn trajectory optimization in a customized gym environment.
rllib-torch-maddpg
PyTorch implementation of MADDPG (Lowe et al.) in RLLib
RocketTrajectorySimulator
6-DOF sounding rocket trajectory simulator
SCPToolbox.jl
Sequential Convex Programming Toolbox for nonconvex trajectory optimization.
Space-Debris-Reentry
A stacked LSTM network that predicts space debris reentry trajectory using its TLE Data
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tianshou
An elegant PyTorch deep reinforcement learning library.
trajectory-thingy
launch missiles through atmosphere and space on a spherical spinning Earth to hit a specified target
tsg-ai-arena
AI battle system for TSG
tudatpy
A Python platform to perform astrodynamics and space research.