MarcToussaint / AI-lectures
Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
☆122Updated 4 months ago
Alternatives and similar repositories for AI-lectures
Users that are interested in AI-lectures are comparing it to the libraries listed below
Sorting:
- Interfaces used for the Robotics Practical Course. Using equivalent C++ or python interfaces, and direct execution on a baxter or in simu…☆55Updated last year
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Updated 2 years ago
- ROB-GY 6323 Reinforcement learning and optimal control for robotics☆91Updated 5 months ago
- Robot Reinforcement Learning on the Constraint Manifold☆50Updated 3 years ago
- reinforcement learning from randomized simulations☆68Updated last month
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆14Updated 3 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Updated 5 years ago
- Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3☆93Updated 2 years ago
- ☆55Updated 2 years ago
- A toolbox for trajectory optimization of dynamical systems☆53Updated 2 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆96Updated 5 years ago
- Great resources for learning optimal control☆17Updated 5 years ago
- OffWorld Gym: Open-Access Physical Robotics Environment for Real-World Reinforcement Learning Benchmark and Research☆56Updated last year
- Trajectory optimization algorithms for robotic control.☆109Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 4 years ago
- [deprecated] Engine Agnostic Gym Environment for Robotics☆16Updated 3 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 years ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆42Updated 4 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated 2 weeks ago
- ☆25Updated 4 years ago
- Learning robotic mobile manipulation with deep reinforcement learning☆37Updated 2 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆54Updated 2 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- EAGERx is a physics engine abstraction layer for reinforcement learning. EAGERx allows switching between simulators and reality with a si…☆119Updated 8 months ago
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago
- ☆101Updated 5 years ago
- The lightweight PyBullet wrapper for robotics researchers. Scale your research with less boilerplate.☆67Updated 4 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 4 years ago
- ☆32Updated 6 months ago