On the role of weight sharing during deep option learning
- Matthew Riemer
- Ignacio Cases
- et al.
- 2020
- AAAI 2020
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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14 results for Miao Liu
Learning to learn without forgetting by maximizing transfer and minimizing interference
- Matthew Riemer
- Ignacio Cases
- et al.
- 2019
- ICLR 2019
Learning to teach in cooperative multiagent reinforcement learning
- Shayegan Omidshafiei
- Dong Ki Kim
- et al.
- 2019
- AAAI 2019
Learning abstract options
- Matthew Riemer
- Miao Liu
- et al.
- 2018
- NeurIPS 2018
Eigenoption discovery through the deep successor representation
- Marlos C. Machado
- Clemens Rosenbaum
- et al.
- 2018
- ICLR 2018
Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment
- Di Chen
- Yada Zhu
- et al.
- 2022
- ICAIF 2022
Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions
- Miao Liu
- Kavinayan Sivakumar
- et al.
- 2017
- IROS 2017
Socially aware motion planning with deep reinforcement learning
- Yu Fan Chen
- Michael Everett
- et al.
- 2017
- IROS 2017
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
- Yu Fan Chen
- Miao Liu
- et al.
- 2017
- ICRA 2017
Scalable accelerated decentralized multi-robot policy search in continuous observation spaces
- Shayegan Omidshafiei
- Christopher Amato
- et al.
- 2017
- ICRA 2017