In many real-world problems, one needs to care about multiple objectives. These objectives can be contradicting and, depending on the decision maker, the different compromises will be ranked differently. In this preliminary work, we propose a novel algorithm: Pareto-DQN, that will estimate the Pareto front of complex environment, with a high-dimensional state-space. As a proof-of-concept, we successfully apply our algorithm to the Deep-Sea-Treasure environment, a well known Multi-objective reinforcement learning benchmark.
Reymond, M & Nowe, A 2019, Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems. in Proceedings of the Adaptive and Learning Agents Workshop 2019 (ALA-19) at AAMAS. 2019 Adaptive Learning Agents (ALA) workshop: Workshop of the AAMAS conference, Montreal, Canada, 13/05/19. <https://ala2019.vub.ac.be/papers/ALA2019_paper_36.pdf>
Reymond, M., & Nowe, A. (2019). Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems. In Proceedings of the Adaptive and Learning Agents Workshop 2019 (ALA-19) at AAMAS https://ala2019.vub.ac.be/papers/ALA2019_paper_36.pdf
@inproceedings{b2ac4523dfab4fbeab1173d2050224ad,
title = "Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems",
abstract = "In many real-world problems, one needs to care about multiple objectives. These objectives can be contradicting and, depending on the decision maker, the different compromises will be ranked differently. In this preliminary work, we propose a novel algorithm: Pareto-DQN, that will estimate the Pareto front of complex environment, with a high-dimensional state-space. As a proof-of-concept, we successfully apply our algorithm to the Deep-Sea-Treasure environment, a well known Multi-objective reinforcement learning benchmark.",
author = "Mathieu Reymond and Ann Nowe",
year = "2019",
month = may,
day = "13",
language = "English",
booktitle = "Proceedings of the Adaptive and Learning Agents Workshop 2019 (ALA-19) at AAMAS",
note = "2019 Adaptive Learning Agents (ALA) workshop: Workshop of the AAMAS conference ; Conference date: 13-05-2019 Through 14-05-2019",
url = "https://ala2019.vub.ac.be",
}