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Andrea Baisero
Andrea Baisero
PhD student, Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
Robot programming from demonstration, feedback and transfer
Y Mollard, T Munzer, A Baisero, M Toussaint, M Lopes
2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015
45*2015
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations
A Baisero, Y Mollard, M Lopes, M Toussaint, I Lütkebohle
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
182015
Semi-Autonomous 3rd-Hand Robot
M Lopes, J Peters, J Piater, M Toussaint, A Baisero, B Busch, O Erkent, ...
Robot. Future Manuf. Scenar 3, 2015
72015
Active goal recognition
C Amato, A Baisero
arXiv preprint arXiv:1909.11173, 2019
52019
Learning internal state models in partially observable environments
A Baisero, C Amato
Reinforcement Learning under Partial Observability, NeurIPS Workshop, 2018
52018
The Path Kernel.
A Baisero, FT Pokorny, D Kragic, CH Ek
ICPRAM, 50-57, 2013
52013
On a family of decomposable kernels on sequences
A Baisero, FT Pokorny, CH Ek
arXiv preprint arXiv:1501.06284, 2015
42015
Unbiased Asymmetric Reinforcement Learning under Partial Observability
A Baisero, C Amato
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
3*2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
X Lyu, A Baisero, Y Xiao, C Amato
arXiv preprint arXiv:2201.01221, 2022
12022
Learning complementary representations of the past using auxiliary tasks in partially observable reinforcement learning
A Baisero, C Amato
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
12020
The path kernel: A novel kernel for sequential data
A Baisero, FT Pokorny, D Kragic, CH Ek
Pattern Recognition Applications and Methods, 71-84, 2015
12015
Hierarchical Reinforcement Learning under Mixed Observability
H Nguyen, Z Yang, A Baisero, X Ma, R Platt, C Amato
arXiv preprint arXiv:2204.00898, 2022
2022
Asymmetric DQN for Partially Observable Reinforcement Learning
A Baisero, B Daley, C Amato
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
2022
Reconciling Rewards with Predictive State Representations
A Baisero, C Amato
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
2021
Identification of Unmodeled Objects from Symbolic Descriptions
A Baisero, S Otte, P Englert, M Toussaint
arXiv preprint arXiv:1701.06450, 2017
2017
Encoding Sequential Structures using Kernels.
A Baisero
Royal Institute of Technology (KTH), 2012
2012
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Articles 1–16