PAPER
Publications / 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
ICLR 2023 · May 2023
Abstract
A comprehensive benchmark suite for partially observable reinforcement
learning, providing a unified evaluation framework across diverse POMDP
environments to compare memory-based RL architectures.
BibTeX
@inproceedings{morad2023popgym,
title = {POPGym: Benchmarking Partially Observable Reinforcement Learning},
author = {Morad, Steven and Kortvelesy, Ryan and Bettini, Matteo and Liwicki, Stephan and Prorok, Amanda},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2023},
}
Cite as
Morad, S., Kortvelesy, R., Bettini, M., Liwicki, S., Prorok, A. (2023). POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR 2023 .
