Gerald Tesauro

Principal Scientist, IBM Research

Joined

November 2017

Names

Gerald Tesauro

Emails

****@us.ibm.com (Confirmed)

Personal Links

Career & Education History

Principal Scientist

IBM Research (ibm.com)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

multi-agent learning

Present

deep learning

Present

reinforcement learning

Present

Publications

Learning in Factored Domains with Information-Constrained Visual Representations
Tailia Malloy, Chris R Sims, Tim Klinger, Matthew Riemer, Miao Liu, Gerald Tesauro
- Published: 21 Nov 2022, Last Modified: 31 Jul 2025
- InfoCog @ NeurIPS 2022 Poster
- Readers: Everyone
AI Planning Annotation in Reinforcement Learning: Options and Beyond
Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro
- 24 Sept 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Nicolaus Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, JONATHAN P HOW
- Published: 31 Oct 2022, Last Modified: 03 Oct 2024
- NeurIPS 2022 Accept
- Readers: Everyone
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Nicolaus Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, JONATHAN P HOW
- Published: 25 Apr 2022, Last Modified: 03 Oct 2024
- ICLR 2022 Workshop on Gamification and Multiagent Solutions
- Readers: Everyone
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, JONATHAN P HOW
- 14 Jun 2021 (modified: 03 Oct 2024)
- OpenReview Archive Direct Upload
- Readers: Everyone
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, JONATHAN P HOW
- 14 Jun 2021 (modified: 03 Oct 2024)
- OpenReview Archive Direct Upload
- Readers: Everyone
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
- Published: 10 Jun 2021, Last Modified: 03 Oct 2024
- HSDIP 2021
- Readers: Everyone
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, JONATHAN P HOW
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
- 2020 (modified: 15 Aug 2024)
- CoRR 2020
- Readers: Everyone
On the Role of Weight Sharing During Deep Option Learning
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro
- 2020 (modified: 06 Feb 2023)
- AAAI 2020
- Readers: Everyone

View all 89 publications

Co-Authors

View all 144 co-authors