31 citations · 67 across the 10 of their papers we have counts for
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cs.AI2017★ 4 cited
Automata-Guided Hierarchical Reinforcement Learning for Skill Composition
Xiao Li, Yao Ma, Calin Belta
Skills learned through (deep) reinforcement learning often generalizes poorly across domains and re-training is necessary when presented with a new task. We present a framework tha…
cs.AI2017★ 2 cited
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks
Xiao Li, Yao Ma, Calin Belta
Reward engineering is an important aspect of reinforcement learning. Whether or not the user's intentions can be correctly encapsulated in the reward function can significantly imp…