| Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning X Lyu, Y Xiao, B Daley, C Amato arXiv preprint arXiv:2102.04402, 2021 | 142 | 2021 |
| Online Planning for Target Object Search in Clutter under Partial Observability Y Xiao, S Katt, A ten Pas, S Chen, C Amato 2019 International Conference on Robotics and Automation (ICRA), 8241-8247, 2019 | 83 | 2019 |
| Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Y Xiao, J Hoffman, T Xia, C Amato IEEE International Conference on Robotics and Automation (ICRA), 2020, 2020 | 40* | 2020 |
| Macro-action-based deep multi-agent reinforcement learning Y Xiao, J Hoffman, C Amato Conference on Robot Learning, 1146-1161, 2020 | 36 | 2020 |
| On the Feasibility of Wearable Exotendon Networks for Whole-Hand Movement Patterns in Stroke Patients S Park, L Bishop, T Post, Y Xiao, J Stein, M Ciocarlie International Conference on Robotics and Automation (ICRA), 2016, IEEE, 2016 | 31 | 2016 |
| Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning Y Xiao, W Tan, C Amato Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 22 | 2022 |
| A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning X Lyu, A Baisero, Y Xiao, C Amato Proceedings of the AAAI conference on artificial intelligence 36 (9), 9396-9404, 2022 | 19 | 2022 |
| Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems TN Hoang, Y Xiao, K Sivakumar, C Amato, JP Howl 2018 IEEE International Conference on Robotics and Automation (ICRA), 6373-6380, 2018 | 15 | 2018 |
| Contact localization through spatially overlapping piezoresistive signals P Piacenza, Y Xiao, S Park, I Kymissis, M Ciocarlie 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 13 | 2016 |
| On Centralized Critics in Multi-Agent Reinforcement Learning X Lyu, A Baisero, Y Xiao, B Daley, C Amato Journal of Artificial Intelligence Research 77, 295-354, 2023 | 12 | 2023 |
| Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning Y Xiao, X Lyu, C Amato 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS …, 2021 | 8 | 2021 |
| Touch sensors with overlapping signals: Concept investigation on planar sensors with resistive or optical transduction P Piacenza, E Hannigan, C Baumgart, Y Xiao, S Park, K Behrman, ... arXiv preprint arXiv:1802.08209, 2018 | 4 | 2018 |
| Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) Y Xiao, J Hoffman, T Xia, C Amato | 3 | 2020 |
| Sequential fair resource allocation under a markov decision process framework P Hassanzadeh, E Kreacic, S Zeng, Y Xiao, S Ganesh Proceedings of the Fourth ACM International Conference on AI in Finance, 673-680, 2023 | 1 | 2023 |
| O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models Y Xiao, Y Sun, M Xu, U Madhushani, J Vann, D Garg, S Ganesh arXiv preprint arXiv:2310.14403, 2023 | | 2023 |
| On-Robot Bayesian Reinforcement Learning for POMDPs H Nguyen, S Katt, Y Xiao, C Amato 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability Y Xiao Northeastern University, 2022 | | 2022 |
| Value Factorization for Asynchronous Multi-Agent Reinforcement Learning E Marchesini, Y Xiao, C Amato | | |
Christopher AmatoAssociate Professor at Northeastern UniversityVerified email at ccs.neu.edu
