[W27] KBRL Workshop will be held virtually on 7th January 2021 (9:00am - 2:30pm Japan Time) in the Yellow Wing-South 1

Note that this will be night of 6th January 2021 in the Americas and Europe.

Time Zone Converter (Workshop Start Time)

Time
(JST, GMT+09:00)		 Category Title & Speaker(s)
09:00 Opening Remarks KBRL Organizers
09:03 Invited Talk Karthik Narasimhan, Assistant Professor, Computer Science, Princeton NLP
How can NLP help Reinforcement Learning?
09:30 Contributed Talk I-Chao Shen, Shu-Hsuan Hsu, Bing-Yu Chen
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation (PDF)
09:45 Contributed Talk Prithviraj V Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark Riedl
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents (PDF)
10:00 Invited Talk Alexander Gray, Michiaki Tatsubori, IBM Research
Knowledge-based Reinforcement Learning with Logical Neural Networks
10:45 Contributed Talk Bernardo Esteves, Francisco S. Melo
Revisiting “Recurrent World Models Facilitate Policy Evolution” (PDF)
11:00 Contributed Talk Duc Thien Nguyen, Desmond Cai, Shiau Hong Lim, Laura Wynter
Deep Recurrent Policy Search for Portfolio Optimization (PDF)
11:15 Contributed Talk Jakob J Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater
How do Offline Measures for Exploration in Reinforcement Learning behave? (PDF)
11:30 Invited Talk Sergey Levine, Assistant Professor, UC Berkeley
Offline Reinforcement Learning: Incorporating Knowledge from Data into RL
12:00 Contributed Talk Corentin Sautier, Don Joven Agravante, Michiaki Tatsubori
State Prediction in TextWorld with a Predicate-Logic Pointer Network Architecture (PDF)
12:15 Contributed Talk Minori Narita, Daiki Kimura
Learning from Failure: Introducing Failure Ratio in Reinforcement Learning (PDF)
12:30 Contributed Talk Corentin Sautier, Don Joven Agravante, Michiaki Tatsubori
Towards Logical Model-based Reinforcement Learning: Lifted Operator Models (PDF)
12:45 Invited Talk Masashi Hamaya, Yoshihisa Ijiri, OMRON SINICX Corp.
Soft robotic learning for industrial assembly
13:15 Contributed Talk Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander G Gray
Reinforcement Learning with External Knowledge by using Logical Neural Networks (PDF)
13:30 Contributed Talk Thomas B Wei, Taylor Kessler Faulkner, Andrea Thomaz
Policy Shaping in Continuous State Spaces (PDF)
13:45 Invited Talk Tetsuya Ogata, Waseda University
Deep Predictive Learning and Robot Applications
14:15 Closing Remarks KBRL Organizers
14:20 End