eleurent / phd-thesisLinks
My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/
☆15Updated 4 years ago
Alternatives and similar repositories for phd-thesis
Users that are interested in phd-thesis are comparing it to the libraries listed below
Sorting:
- ☆43Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 3 years ago
- ☆73Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Differentiable Gaussian Process Motion Planning☆51Updated 4 years ago
- Google AI Princeton control framework☆39Updated 5 years ago
- This is a miniature race car gym-env for RL from states (and images)☆27Updated 4 years ago
- ☆35Updated 2 years ago
- Tutorials on how to use EAGERx☆15Updated 3 months ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Updated 2 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.☆53Updated 2 years ago
- Risk-averse trajectory optimization☆20Updated 2 years ago
- ☆37Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 4 years ago
- Performant, differentiable reinforcement learning☆23Updated 2 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆94Updated 4 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆41Updated 3 years ago
- A toolbox for trajectory optimization of dynamical systems☆54Updated 3 years ago
- reinforcement learning from randomized simulations☆68Updated 7 months ago
- Implementation of Partially Observable Monte Carlo Planning Algorithm☆69Updated 7 years ago
- The official repo for the CoRL 2022 paper 'Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation'☆10Updated 3 years ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago