Stanford-ILIAD / active-preference-based-gprLinks
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
☆39Updated last year
Alternatives and similar repositories for active-preference-based-gpr
Users that are interested in active-preference-based-gpr are comparing it to the libraries listed below
Sorting:
- ☆73Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆17Updated 5 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆68Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 3 years ago
- Cross Entropy Method implemented in pytorch☆37Updated 3 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 4 years ago
- ☆21Updated 5 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆104Updated 6 months ago
- ☆40Updated 4 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated last month
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 6 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆12Updated 3 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last year
- ☆34Updated 5 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆42Updated 3 years ago
- Implementation of safety augmented value estimation from demonstrations (SAVED)☆24Updated 6 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Updated 6 years ago
- ☆30Updated 4 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Updated 2 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆56Updated 5 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆28Updated 4 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago