10 results found Sort:

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Created 2019-04-07
995 commits to master branch, last one 3 years ago
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Created 2021-08-04
514 commits to main branch, last one 12 days ago
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Created 2023-09-10
44 commits to master branch, last one 6 months ago
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OpenAI's cartpole env solver.
Created 2018-08-18
17 commits to master branch, last one 2 years ago
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
Created 2020-02-22
34 commits to master branch, last one 9 months ago
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
Created 2021-10-25
39 commits to main branch, last one about a year ago
『PythonとCasADiで学ぶモデル予測制御』 サポートサイト
Created 2023-07-27
210 commits to master branch, last one 10 days ago