| Learning in POMDPs with Monte Carlo tree search S Katt, FA Oliehoek, C Amato International Conference on Machine Learning, 1819-1827, 2017 | 44 | 2017 |
| 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 | 25 | 2019 |
| Bayesian Reinforcement Learning in Factored POMDPs S Katt, FA Oliehoek, C Amato Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 12 | 2019 |
| Anytime versus real-time heuristic search for on-line planning B Cserna, M Bogochow, S Chambers, M Tremblay, S Katt, W Ruml Ninth annual symposium on combinatorial search, 2016 | 5 | 2016 |
| Removing dynamic objects for static scene reconstruction using light fields P Kaveti, S Katt, H Singh arXiv preprint arXiv:2003.11076, 2020 | 3 | 2020 |
| Efficient exploitation of factored domains in bayesian reinforcement learning for pomdps S Katt, FA Oliehoek, C Amato Adaptive Learning Agents, 2018 | 2 | 2018 |
| Introducing movements and animations to virtual victims in USARSim S Katt Bachelor's thesis, Universiteit van Amsterdam, 2012 | 1 | 2012 |
| Bayesian RL in factored POMDPs S Katt, F Oliehoek, C Amato CEUR Workshop Proceedings 2491, 2019 | | 2019 |
| MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environments S Katt, F Oliehoek, C Amato NeurIPS Workshop on Reinforcement Learning under Partial Observability, 2018 | | 2018 |
| Efficient Bayesian Learning in Factored Partially Observable Environments S Katt | | 2017 |
Christopher AmatoAssistant Professor at Northeastern UniversityVerified email at ccs.neu.edu
