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 "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆17Updated 5 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆64Updated 3 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago
- ☆39Updated 3 years ago
- Working directory for dynamics learning for experimental robots.☆58Updated 4 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- ☆35Updated 5 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆17Updated 2 years ago
- ☆21Updated 6 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 3 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated 11 months ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- ☆19Updated 4 years ago
- ☆28Updated 3 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆99Updated this week
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- ☆11Updated 3 years ago
- A library to benchmark reinforcement learning algorithms☆21Updated 7 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆70Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- ☆18Updated 4 years ago
- ☆11Updated 7 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago