Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- Dong Ki Kim
- Matthew Riemer
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
14 results for Jonathan How
Context-Specific Representation Abstraction for Deep Option Learning
- Marwa Abdulhai
- Dong Ki Kim
- et al.
- 2022
- AAAI 2022
Conference paperCollective online learning of gaussian processes in massive multi-agent systems
- Trong Nghia Hoang
- Quang Minh Hoang
- et al.
- 2019
- AAAI 2019
Conference paperLearning to teach in cooperative multiagent reinforcement learning
- Shayegan Omidshafiei
- Dong Ki Kim
- et al.
- 2019
- AAAI 2019
Conference paperAutomatic pan-tilt camera control for learning Dirichlet Process Gaussian Process (DPGP) mixture models of multiple moving targets
- Hongchuan Wei
- Pingping Zhu
- et al.
- 2019
- IEEE TACON
PaperGaussian Processes for Learning and Control: A Tutorial with Examples
- Miao Liu
- Girish Chowdhary
- et al.
- 2018
- IEEE Control Systems
PaperLearning for multi-robot cooperation in partially observable stochastic environments with macro-actions
- Miao Liu
- Kavinayan Sivakumar
- et al.
- 2017
- IROS 2017
Conference paperSocially aware motion planning with deep reinforcement learning
- Yu Fan Chen
- Michael Everett
- et al.
- 2017
- IROS 2017
Conference paperDecentralized non-communicating multiagent collision avoidance with deep reinforcement learning
- Yu Fan Chen
- Miao Liu
- et al.
- 2017
- ICRA 2017
Conference paperScalable accelerated decentralized multi-robot policy search in continuous observation spaces
- Shayegan Omidshafiei
- Christopher Amato
- et al.
- 2017
- ICRA 2017
Conference paper