acguez / bamcp
Bayes-Adaptive Monte-Carlo Planning algorithm
☆16Updated 12 years ago
Alternatives and similar repositories for bamcp:
Users that are interested in bamcp are comparing it to the libraries listed below
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Updated 6 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- ☆35Updated 5 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆20Updated 3 years ago
- ☆27Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Factored model-based Bayesian Reinforcement Learning framework☆20Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 8 years ago
- ☆54Updated 7 years ago
- ☆30Updated last year
- Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).☆14Updated 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
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- ☆65Updated last year
- Code to related to my NIPS 2016 paper☆10Updated 8 years ago
- ☆14Updated 5 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- ☆9Updated 4 years ago
- ☆98Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆53Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- Google AI Princeton control framework☆38Updated 4 years ago