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								<!-- <h2>2020</h2> -->
								<h4><a href="https://scholar.google.com/citations?user=xsfh9f0AAAAJ&hl=en">My Google Scholar Page</a></h4>
								<h3>2020</h3>
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									<li>Yuchen Xiao, <b>Joshua Hoffman</b>, 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.
										<a href="https://arxiv.org/abs/1909.08776">[PDF]</a>
										<a href="https://youtu.be/mk51MPgElj0">[Video]</a>
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									<li><b>Josh Hoffman</b>,
										“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)
									</li>
									<li>Yuchen Xiao, <b>Joshua Hoffman</b>, 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)
										<a href="https://www.aaai.org/Papers/AAAI/2020GB/SA-XiaoY.604.pdf">[PDF]</a>
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								<!-- <h2>2019</h2> -->
								<h3>2019 </h3>
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									<li>Yuchen Xiao, <b>Joshua Hoffman</b>, and Christopher Amato,
										"Macro-Action-Based Deep Multi-Agent Reinforcement Learning",
										Conference on Robot Learning (CoRL), 2019. (27% acceptance rate)
										<a href="https://arxiv.org/abs/2004.08646">[PDF]</a>
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