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ORCIDJonathan P. How
- > Home > Persons > Jonathan P. How
Publications
- 2020
[j68]Dong-Ki Kim
, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How:
Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. 34(1): 16 (2020)- [c211]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS 2020: 620-628 - 2019
- [c201]Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI 2019: 6128-6136 - [c190]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS 2019: 8193-8200 - [i57]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR abs/1903.03216 (2019) - [i55]Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR abs/1903.06592 (2019) - 2018
- [c187]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. AAMAS 2018: 139-146 - [i40]Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How:
Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR abs/1805.07830 (2018) - 2017
- [j53]Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian:
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. 36(2): 231-258 (2017) - [c172]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML 2017: 2681-2690 - [c170]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA 2017: 863-870 - [c169]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA 2017: 871-878 - [c163]Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How:
Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. IROS 2017: 1853-1860 - [i29]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR abs/1703.05623 (2017) - [i28]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR abs/1703.05626 (2017) - [i27]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR abs/1703.06182 (2017) - [i22]Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How:
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions. CoRR abs/1707.07399 (2017) - [i17]Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How:
Crossmodal Attentive Skill Learner. CoRR abs/1711.10314 (2017) - 2016
- [j49]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. 74: 360-368 (2016) - [c152]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian:
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA 2016: 5395-5402 - [i15]Shayegan Omidshafiei, Brett Thomas Lopez, Jonathan P. How, John Vian:
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. CoRR abs/1605.01042 (2016) - 2015
- [c146]Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Jonathan P. How, Leslie Pack Kaelbling:
Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia 2015: 10-12 - [c137]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Jonathan P. How:
Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. ICRA 2015: 5962-5969 - [c134]N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Jonathan P. How, John Vian:
Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS 2015: 5181-5188 - [i10]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Jonathan P. How:
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions. CoRR abs/1502.06030 (2015) - 2014
- [c122]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS 2014: 95-102
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