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Journal Articles
- 2023
[j1]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato:
On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. 77: 295-354 (2023)
Conference and Workshop Papers
- 2023
- [c12]Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato:
Equivariant Reinforcement Learning under Partial Observability. CoRL 2023: 3309-3320 - 2022
- [c11]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato:
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. AAAI 2022: 9396-9404 - [c10]Andrea Baisero, Christopher Amato:
Unbiased Asymmetric Reinforcement Learning under Partial Observability. AAMAS 2022: 44-52 - [c9]Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt:
Leveraging Fully Observable Policies for Learning under Partial Observability. CoRL 2022: 1673-1683 - [c8]Andrea Baisero, Brett Daley, Christopher Amato:
Asymmetric DQN for partially observable reinforcement learning. UAI 2022: 107-117 - [c7]Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato:
Hierarchical Reinforcement Learning Under Mixed Observability. WAFR 2022: 188-204 - 2021
- [c6]Andrea Baisero, Christopher Amato:
Reconciling Rewards with Predictive State Representations. IJCAI 2021: 2170-2176 - 2020
- [c5]Andrea Baisero, Christopher Amato:
Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning. AAMAS 2020: 1762-1764 - 2015
- [c4]Andrea Baisero, Yoan Mollard, Manuel Lopes
, Marc Toussaint, Ingo Lütkebohle:
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations. IROS 2015: 478-484 - [c3]Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes:
Robot programming from demonstration, feedback and transfer. IROS 2015: 1825-1831 - 2013
- [c2]Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek:
The Path Kernel. ICPRAM 2013: 50-57 - [c1]Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek:
The Path Kernel: A Novel Kernel for Sequential Data. ICPRAM (Selected Papers) 2013: 71-84
Informal and Other Publications
- 2024
- [i11]Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato:
Equivariant Reinforcement Learning under Partial Observability. CoRR abs/2408.14336 (2024) - [i10]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato:
On Centralized Critics in Multi-Agent Reinforcement Learning. CoRR abs/2408.14597 (2024) - [i9]Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato:
On Stateful Value Factorization in Multi-Agent Reinforcement Learning. CoRR abs/2408.15381 (2024) - 2022
- [i8]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato:
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. CoRR abs/2201.01221 (2022) - [i7]Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato:
Hierarchical Reinforcement Learning under Mixed Observability. CoRR abs/2204.00898 (2022) - [i6]Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt:
Leveraging Fully Observable Policies for Learning under Partial Observability. CoRR abs/2211.01991 (2022) - 2021
- [i5]Andrea Baisero, Christopher Amato:
Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning. CoRR abs/2105.11674 (2021) - [i4]Andrea Baisero, Christopher Amato:
Reconciling Rewards with Predictive State Representations. CoRR abs/2106.03926 (2021) - 2019
- [i3]Christopher Amato, Andrea Baisero:
Active Goal Recognition. CoRR abs/1909.11173 (2019) - 2017
- [i2]Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint:
Identification of Unmodeled Objects from Symbolic Descriptions. CoRR abs/1701.06450 (2017) - 2015
- [i1]Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek:
On a Family of Decomposable Kernels on Sequences. CoRR abs/1501.06284 (2015)
Coauthor Index
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