Lists (1)
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🍰 Desktop utility to download images/videos/music/text from various websites, and more.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation
Massively Parallel Deep Reinforcement Learning. 🔥
Next generation High-Power Rocketry 6-DOF Trajectory Simulation
PyTorch Agent Net: reinforcement learning toolkit for pytorch
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Astrodynamics with Python book, software, and videos. Spacecraft trajectory and attitude modeling and simulation
A SpaceX Rocket Lander environment for OpenAI gym using Box2D
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Rocket Landing "Guidance for Fuel Optimal Diverts" in Python
Implementation of the Successive Convexification algorithm.
Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
Implementation of "Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time"
Optimal Path Planning with Deep Reinforcement Learning
SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.
The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.
一些利用pytorch编程实现的强化学习例子
Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomou…