antoine-moulin / MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MVA
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆18Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆49Updated 4 years ago
- ☆43Updated 3 years ago
- ☆13Updated last year
- ☆26Updated 3 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆20Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆76Updated 8 months ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆114Updated last week
- ☆22Updated 4 years ago
- ☆38Updated last year
- A summary of important concepts and algorithms in RL☆23Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 3 months ago
- https://cs330.stanford.edu/☆60Updated last year
- ☆15Updated last year
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last month
- Code for the ICML 2020 publication "Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continu…☆12Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015☆13Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆50Updated last year
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆14Updated 3 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- ☆14Updated 3 years ago
- Neural ODE tutorial☆9Updated 2 years ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated last year
- ☆37Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆27Updated 2 years ago