tung-nd / E2C-pytorch
A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015
☆14Updated 5 years ago
Alternatives and similar repositories for E2C-pytorch:
Users that are interested in E2C-pytorch are comparing it to the libraries listed below
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆18Updated 2 years ago
- ☆35Updated 5 years ago
- Cross Entropy Method implemented in pytorch☆36Updated 3 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Updated 5 years ago
- Deep PILCO PyTorch Implementation☆14Updated 2 years ago
- ☆28Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- ☆68Updated 4 years ago
- ☆23Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- [CoRL 2020] Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability☆9Updated 2 years ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Updated 3 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 2 years ago
- Robot Reinforcement Learning on the Constraint Manifold☆50Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆40Updated last year
- ☆14Updated this week
- ☆18Updated 4 years ago
- Trajectory optimization algorithms for robotic control.☆108Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆105Updated last year
- A set of environments utilizing pybullet for simulation of robotic manipulation tasks.☆26Updated 4 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆14Updated 5 years ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆54Updated last year
- ☆23Updated 3 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- Implementation of Sim2Seg (John So*, Amber Xie*, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali-akbar Agha-mohammad, Pieter Abbeel, Ste…☆33Updated last year
- Working directory for dynamics learning for experimental robots.☆56Updated 4 years ago