irom-princeton / PAC-Bayes-Control
Code for the PAC-Bayes Control paper.
☆13Updated last year
Alternatives and similar repositories for PAC-Bayes-Control:
Users that are interested in PAC-Bayes-Control are comparing it to the libraries listed below
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Updated 5 years ago
- ☆54Updated 7 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- ☆68Updated 3 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 4 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 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 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- ☆30Updated last year
- QMDP-Net implementation☆65Updated 4 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆96Updated 5 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 4 years ago
- ☆98Updated 2 years ago
- ☆19Updated 4 years ago
- Trajectory optimization algorithms for robotic control.☆109Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- A Library for Active Preference-based Reward Learning Algorithms☆50Updated last year
- Residual policy learning☆63Updated 6 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- Library for model based RL in robotics☆37Updated 6 years ago