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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
521 commits to main branch, last one 15 days ago
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Created
2017-11-17
40 commits to master branch, last one 5 years 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
46 commits to master branch, last one 18 days ago
Deep Reinforcement Learning in C#
dqn
ppo
sac
gail
dotnet
cartpole
gail-ppo
multi-agent
deep-learning
machine-learning
multi-environment
soft-actor-critic
reinforcement-learning
deep-reinforcement-learning
proximal-policy-optimization
reinforcement-learning-agent
reinforcement-learning-algorithms
multi-agent-reinforcement-learning
reinforcement-learning-environments
Created
2023-08-15
77 commits to master branch, last one 2 months ago
OpenAI's cartpole env solver.
Created
2018-08-18
17 commits to master branch, last one 3 years ago
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
Created
2020-02-22
35 commits to master branch, last one 4 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 2 years ago
A toolbox for trajectory optimization of dynamical systems
Created
2019-06-17
206 commits to master branch, last one 2 years 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
219 commits to master branch, last one about a month ago