153 citations · 385 across the 25 of their papers we have counts for
15 papers · 1 filter
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning
Jacob Menashe, Peter Stone
Recent successes in Reinforcement Learning have encouraged a fast-growing network of RL researchers and a number of breakthroughs in RL research. As the RL community and the body o…
Learning Curriculum Policies for Reinforcement Learning
Sanmit Narvekar, Peter Stone
Curriculum learning in reinforcement learning is a training methodology that seeks to speed up learning of a difficult target task, by first training on a series of simpler tasks a…
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…
LAAIR: A Layered Architecture for Autonomous Interactive Robots
Yuqian Jiang, Nick Walker, Minkyu Kim +6
When developing general purpose robots, the overarching software architecture can greatly affect the ease of accomplishing various tasks. Initial efforts to create unified robot sy…
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence
Justin Hart, Harel Yedidsion, Yuqian Jiang +8
Efforts are underway at UT Austin to build autonomous robot systems that address the challenges of long-term deployments in office environments and of the more prescribed domestic…
An Architecture for Person-Following using Active Target Search
Minkyu Kim, Miguel Arduengo, Nick Walker +4
This paper addresses a novel architecture for person-following robots using active search. The proposed system can be applied in real-time to general mobile robots for learning fea…