11 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.AI2018★ 11 cited
Automata Guided Reinforcement Learning With Demonstrations
Xiao Li, Yao Ma, Calin Belta
Tasks with complex temporal structures and long horizons pose a challenge for reinforcement learning agents due to the difficulty in specifying the tasks in terms of reward functio…
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…