NPLawrence / stochastic_dynamicsLinks
Almost Surely Stable Deep Dynamics [NeurIPS 2020]
☆13Updated 2 years ago
Alternatives and similar repositories for stochastic_dynamics
Users that are interested in stochastic_dynamics are comparing it to the libraries listed below
Sorting:
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- ☆30Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"☆17Updated 5 years ago
- MBRL library in JAX☆10Updated 2 years ago
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆15Updated 2 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆12Updated 3 years ago
- Online variational GPs☆37Updated 2 years ago
- [ICLR 2022] Path integral sampler☆48Updated last year
- Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning☆25Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆29Updated last year
- ☆50Updated 3 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- ☆13Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- ☆41Updated 2 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- A library for mean-field games.☆53Updated 2 weeks ago
- ☆10Updated 2 years ago
- ☆73Updated 5 years ago
- Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…☆12Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆42Updated 4 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago