Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- Dong Ki Kim
- Matthew Riemer
- et al.
- 2022
- NeurIPS 2022
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14 results for Jonathan How
Context-Specific Representation Abstraction for Deep Option Learning
- Marwa Abdulhai
- Dong Ki Kim
- et al.
- 2022
- AAAI 2022
Learning to teach in cooperative multiagent reinforcement learning
- Shayegan Omidshafiei
- Dong Ki Kim
- et al.
- 2019
- AAAI 2019
Collective online learning of gaussian processes in massive multi-agent systems
- Trong Nghia Hoang
- Quang Minh Hoang
- et al.
- 2019
- AAAI 2019
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
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations
- Shayegan Omidshafiei
- Shih-Yuan Liu
- et al.
- 2017
- ICRA 2017
Quickest change detection approach to optimal control in Markov decision processes with model changes
- Taposh Banerjee
- Miao Liu
- et al.
- 2017
- ACC 2017