mbcd
Code for the paper "Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection"
MIT License
Stars
8
Ecosystems:
Python
Model-Based RL Context Detection
Code for the paper Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
To reproduce the Half-Cheetah in a Non-Stationary World experiment:
cd path/mbcd
pip install -e .
python3 experiments/mbcd_run.py -algo mbcd
Citation:
@InProceedings{Alegre+2021aamas,
title = {Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection},
author = {Lucas N. Alegre and Ana L. C. Bazzan and Bruno C. {\relax da} Silva},
booktitle = {Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
location = {Virtual Event, United Kingdom},
year = {2021},
pages = {97--105},
isbn = {9781450383073},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
address = {Richland, SC}
}