Welcome to the planning and learning reading group website! In this reading group we will discuss current papers and developments in the fields of planning and learning in robotics. Topics of interest include but are not limited to:
- (deep) reinforcement learning
- planning under uncertainty
- planning in unknown or partially observable environments
- hierarchical planning
- classical planning
Who, When and Where
The planning and learning reading group is jointly run by Frank Broz and Jose L. Part. Meetings take place biweekly on Mondays from 15:15 to 16:15 in the Earl Mountbatten Building at Heriot-Watt University.
Room: EMB 1.58
Presenter: Martin Ross
Title: Where to Add Actions in Human-in-the-Loop Reinforcement Learning
Authors: Travis Mandel, Yun-En Liu, Emma Brunskill, and Zoran Popović
Abstract: In order for reinforcement learning systems to learn quickly in vast action spaces such as the space of all possible...
Presenter: Frank Broz
Title: Planning with Trust for Human-Robot Collaboration
Authors: Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu and Siddhartha Srinivasa
Abstract: Trust is essential for human-robot collaboration and user adoption of autonomous systems, such as robot assistants. This paper introduces a...
Presenter: Jose L. Part
Title: Learning Latent Dynamics for Planning from Pixels
Authors: Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee and James Davidson
Abstract: Planning has been very successful for control tasks with known environment dynamics. To leverage planning in unknown environments, the agent...
ContactFrank Broz: firstname.lastname@example.org
Jose L. Part: email@example.com