young-j-park / 18-NeurIPS-APIAELinks
☆21Updated 6 years ago
Alternatives and similar repositories for 18-NeurIPS-APIAE
Users that are interested in 18-NeurIPS-APIAE are comparing it to the libraries listed below
Sorting:
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated last year
- ☆54Updated 7 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- ☆73Updated 5 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Updated 6 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- ☆24Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- PILCO policy search framework (Matlab version)☆72Updated 7 years ago
- QMDP-Net implementation☆65Updated 5 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 6 years ago
- A toolbox for inference of switching systems for control☆12Updated 3 years ago
- Iterative LQG for a couple of MuJoCo models☆61Updated 2 years ago
- A library to benchmark reinforcement learning algorithms☆21Updated 7 years ago
- Stabilizable Nonlinear Dynamics Learning☆22Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆58Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- A toolbox for trajectory optimization of dynamical systems☆53Updated 3 years ago
- Safe Exploration with MPC and Gaussian process models☆89Updated 4 years ago
- Great resources for learning optimal control☆18Updated 6 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆101Updated last month
- Safe Bayesian Optimization☆148Updated 2 years ago