homangab / gradcemView external linksLinks
Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
☆68Apr 21, 2020Updated 5 years ago
Alternatives and similar repositories for gradcem
Users that are interested in gradcem are comparing it to the libraries listed below
Sorting:
- Cross Entropy Method implemented in pytorch☆37Mar 1, 2022Updated 3 years ago
- improved Cross Entropy Method for trajectory optimization☆82Sep 10, 2021Updated 4 years ago
- ☆17Dec 12, 2020Updated 5 years ago
- Gaussian Process-based Adaptive Informative Path Planning with Multimodal Sensing☆13Aug 8, 2024Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Codebase for "Learning the References of Online Model Predictive Control for Urban Self-Driving"☆24Feb 8, 2024Updated 2 years ago
- Trajectory optimization algorithms for robotic control.☆118Nov 20, 2022Updated 3 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- Simple optimal control framework for python☆13Aug 16, 2018Updated 7 years ago
- Lightweight control environment for Franka robot☆13Mar 16, 2022Updated 3 years ago
- The Differentiable Cross-Entropy Method☆124Aug 14, 2020Updated 5 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Oct 26, 2020Updated 5 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Apr 28, 2021Updated 4 years ago
- Learning based Model Prodictive Control for online iterative trajectory optimization for the F1/10 car☆40Feb 23, 2022Updated 3 years ago
- ☆28Dec 14, 2022Updated 3 years ago
- Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models☆421Jun 21, 2022Updated 3 years ago
- Combining Optimal-Control and Learning for Visual Navigation in Novel Environments☆64Jun 25, 2024Updated last year
- Sampling based Model Predictive Control package for Model-Based RL research☆57Oct 20, 2020Updated 5 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Oct 14, 2020Updated 5 years ago
- Model-Free-Episodic-Control implementation.☆17Jun 3, 2019Updated 6 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆20Oct 19, 2025Updated 3 months ago
- The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…☆31Nov 20, 2020Updated 5 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Apr 14, 2021Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Nov 17, 2020Updated 5 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆72Apr 13, 2023Updated 2 years ago
- Optimal Control Tutorials☆15Aug 20, 2020Updated 5 years ago
- Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Le…☆18Apr 13, 2021Updated 4 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆147May 15, 2023Updated 2 years ago
- ☆73Jul 7, 2020Updated 5 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 3 years ago
- ☆33Aug 30, 2024Updated last year
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago
- Implementation of the Self Paced Reinforcement Learning Experiments☆19Sep 27, 2023Updated 2 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Nov 29, 2021Updated 4 years ago
- Sampling based control for kino-dynamic contact aware motion planning.☆34Mar 3, 2021Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- ☆62Aug 22, 2025Updated 5 months ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆117Dec 13, 2019Updated 6 years ago