ICML 2019oral242 citations
Model-Based Active Exploration
Pranav Shyam, Wojciech Jaśkowski, Faustino Gomez
Abstract
Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations. This paper introduces an efficient
BibTeX
@InProceedings{pmlr-v97-shyam19a,
title = {Model-Based Active Exploration},
author = {Shyam, Pranav and Ja{\'{s}}kowski, Wojciech and Gomez, Faustino},
booktitle = {Proceedings of the 36th International Conference on Machine Learning},
pages = {5779--5788},
year = {2019},
editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
volume = {97},
series = {Proceedings of Machine Learning Research},
month = {09--15 Jun},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v97/shyam19a/shyam19a.pdf},
url = {https://proceedings.mlr.press/v97/shyam19a.html},
abstract = {Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations. This paper introduces an efficient