Andrea Baisero

29 papers A* 2A 8C 2Misc 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning.
CoRR
Andrea Baisero, Rupali Bhati, Shuo Liu, Aathira Pillai, Christopher Amato
2025 A conf
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning.
AAMAS
Chulabhaya Wijesundara, Andrea Baisero, Gregory D. Castañón, Alan Carlin, Robert Platt, Christopher Amato
2025 J jnl
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning.
Trans. Mach. Learn. Res.
Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castañón, Alan Carlin, Robert Platt, Christopher Amato
2025 A conf
On Stateful Value Factorization in Multi-Agent Reinforcement Learning.
AAMAS
Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato
2025 A conf
Role of State in Partially Observable Reinforcement Learning.
AAMAS
Andrea Baisero
2024 J jnl
Equivariant Reinforcement Learning under Partial Observability.
CoRR
Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
2024 J jnl
On Centralized Critics in Multi-Agent Reinforcement Learning.
CoRR
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2024 J jnl
On Stateful Value Factorization in Multi-Agent Reinforcement Learning.
CoRR
Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato
2023 Misc conf
Equivariant Reinforcement Learning under Partial Observability.
CoRL
Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato
2023 J jnl
On Centralized Critics in Multi-Agent Reinforcement Learning.
J. Artif. Intell. Res.
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2022 A* conf
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning.
AAAI
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
2022 J jnl
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning.
CoRR
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
2022 A conf
Asymmetric DQN for partially observable reinforcement learning.
UAI
Andrea Baisero, Brett Daley, Christopher Amato
2022 C conf
Hierarchical Reinforcement Learning Under Mixed Observability.
WAFR
Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato
2022 J jnl
Hierarchical Reinforcement Learning under Mixed Observability.
CoRR
Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato
2022 Misc conf
Leveraging Fully Observable Policies for Learning under Partial Observability.
CoRL
Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
2022 J jnl
Leveraging Fully Observable Policies for Learning under Partial Observability.
CoRR
Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
2022 A conf
Unbiased Asymmetric Reinforcement Learning under Partial Observability.
AAMAS
Andrea Baisero, Christopher Amato
2021 A* conf
Reconciling Rewards with Predictive State Representations.
IJCAI
Andrea Baisero, Christopher Amato
2021 J jnl
Reconciling Rewards with Predictive State Representations.
CoRR
Andrea Baisero, Christopher Amato
2021 J jnl
Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.
CoRR
Andrea Baisero, Christopher Amato
2020 A conf
Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning.
AAMAS
Andrea Baisero, Christopher Amato
2019 J jnl
Active Goal Recognition.
CoRR
Christopher Amato, Andrea Baisero
2017 J jnl
Identification of Unmodeled Objects from Symbolic Descriptions.
CoRR
Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint
2015 J jnl
On a Family of Decomposable Kernels on Sequences.
CoRR
Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek
2015 A conf
Robot programming from demonstration, feedback and transfer.
IROS
Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes
2015 A conf
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations.
IROS
Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle
2013 C conf
The Path Kernel.
ICPRAM
Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
2013 — conf
The Path Kernel: A Novel Kernel for Sequential Data.
ICPRAM (Selected Papers)
Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek