Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi H Chit Siu, JD Pena, KC Chang, E Chen, Y Zhou, VJ Lopez, K Palko, ... arXiv e-prints, arXiv: 2107.07630, 2021 | 59* | 2021 |
Learning emergent discrete message communication for cooperative reinforcement learning S Li, Y Zhou, R Allen, MJ Kochenderfer 2022 International Conference on Robotics and Automation (ICRA), 5511-5517, 2022 | 18 | 2022 |
Health-informed policy gradients for multi-agent reinforcement learning RE Allen, JK Gupta, J Pena, Y Zhou, JW Bear, MJ Kochenderfer arXiv preprint arXiv:1908.01022, 2019 | 9 | 2019 |
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research Y Zhou, S Manuel, P Morales, S Li, J Pena, R Allen 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2020 | 1 | 2020 |
In-Context Generalization to New Tasks From Unlabeled Observation Data A Liang, P Czempin, Y Zhou, S Tu, E Biyik ICML 2024 Workshop on In-Context Learning, 2024 | | 2024 |