2020
- Yuchen Xiao, Joshua Hoffman, Tian Xia and Christopher Amato,
"Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net",
IEEE International Conference on Robotics and Automation (ICRA), 2020.
[PDF]
[Video]
- Josh Hoffman,
“Robustness in macro-action-based deep multi-agent reinforcement learning,”
in First AAAI Conference on Artificial Intelligence Undergraduate Consortium (AAAI-UC), 2020.
(16% acceptance rate)
- Yuchen Xiao, Joshua Hoffman, Tian Xia and Christopher Amato,
"Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions,"
Thirty-Fourth AAAI Student Abstract and Poster Program, 2020. (spotlight talk)
[PDF]
2019
- Yuchen Xiao, Joshua Hoffman, and Christopher Amato,
"Macro-Action-Based Deep Multi-Agent Reinforcement Learning",
Conference on Robot Learning (CoRL), 2019. (27% acceptance rate)
[PDF]