Andrea Baisero

According to our database, Andrea Baisero authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On Stateful Value Factorization in Multi-Agent Reinforcement Learning.

Enrico Marchesini, Andrea Baisero, Rupali Bathi, Christopher Amato

CoRR, 2024

2023

On Centralized Critics in Multi-Agent Reinforcement Learning.

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato

J. Artif. Intell. Res., 2023

Equivariant Reinforcement Learning under Partial Observability.

Hai Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato

Proceedings of the Conference on Robot Learning, 2023

2022

Hierarchical Reinforcement Learning Under Mixed Observability.

Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

Asymmetric DQN for partially observable reinforcement learning.

Andrea Baisero, Brett Daley, Christopher Amato

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Leveraging Fully Observable Policies for Learning under Partial Observability.

Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt

Proceedings of the Conference on Robot Learning, 2022

Unbiased Asymmetric Reinforcement Learning under Partial Observability.

Andrea Baisero, Christopher Amato

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning.

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.

Andrea Baisero, Christopher Amato

CoRR, 2021

Reconciling Rewards with Predictive State Representations.

Andrea Baisero, Christopher Amato

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning Complementary Representations of the Past using Auxiliary Tasks in Partially Observable Reinforcement Learning.

Andrea Baisero, Christopher Amato

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Active Goal Recognition.

Christopher Amato, Andrea Baisero

CoRR, 2019

2017

Identification of Unmodeled Objects from Symbolic Descriptions.

Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint

CoRR, 2017

2015

On a Family of Decomposable Kernels on Sequences.

Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek

CoRR, 2015

Robot programming from demonstration, feedback and transfer.

Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations.

Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2013

The Path Kernel: A Novel Kernel for Sequential Data.

Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

The Path Kernel.

Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek

Proceedings of the ICPRAM 2013, 2013