22 citations · 69 across the 13 of their papers we have counts for
4 papers · 1 filter
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Yuqian Jiang, Fangkai Yang, Shiqi Zhang +1
Task-motion planning (TMP) addresses the problem of efficiently generating executable and low-cost task plans in a discrete space such that the (initially unknown) action costs are…
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu +1
Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretab…
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning
Yuan Gao, Fangkai Yang, Martin Frisk +3
Deep reinforcement learning has recently been widely applied in robotics to study tasks such as locomotion and grasping, but its application to social human-robot interaction (HRI)…
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Fangkai Yang, Daoming Lyu, Bo Liu +1
Reinforcement learning and symbolic planning have both been used to build intelligent autonomous agents. Reinforcement learning relies on learning from interactions with real world…