21 citations · 40 across the 10 of their papers we have counts for
10 papers
Evolution of beliefs in social networks
Pushpi Paranamana, Pei Wang, Patrick Shafto
Evolution of beliefs of a society are a product of interactions between people (horizontal transmission) in the society over generations (vertical transmission). Researchers have s…
Discrete Probabilistic Inverse Optimal Transport
Wei-Ting Chiu, Pei Wang, Patrick Shafto
Optimal transport (OT) formalizes the problem of finding an optimal coupling between probability measures given a cost matrix. The inverse problem of inferring the cost given a cou…
Efficient Discretizations of Optimal Transport
Junqi Wang, Pei Wang, Patrick Shafto
Obtaining solutions to Optimal Transportation (OT) problems is typically intractable when the marginal spaces are continuous. Recent research has focused on approximating continuou…
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
Arash Givchi, Pei Wang, Junqi Wang +1
We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions. Given these…
Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots
Pei Wang, Xiaoyu Zhou, Qingteng Zhao +2
Autonomous navigation has played an increasingly significant role in quadruped robot system. However, most existing works on quadruped robots navigation using traditional search-ba…
Sequential Cooperative Bayesian Inference
Junqi Wang, Pei Wang, Patrick Shafto
Cooperation is often implicitly assumed when learning from other agents. Cooperation implies that the agent selecting the data, and the agent learning from the data, have the same…
Learning a manifold from a teacher's demonstrations
Pei Wang, Arash Givchi, Patrick Shafto
We consider the problem of learning a manifold from a teacher's demonstration. Extending existing approaches of learning from randomly sampled data points, we consider contexts whe…
A mathematical theory of cooperative communication
Pei Wang, Junqi Wang, Pushpi Paranamana +1
Cooperative communication plays a central role in theories of human cognition, language, development, culture, and human-robot interaction. Prior models of cooperative communicatio…
Generalizing the theory of cooperative inference
Pei Wang, Pushpi Paranamana, Patrick Shafto
Cooperation information sharing is important to theories of human learning and has potential implications for machine learning. Prior work derived conditions for achieving optimal…
Optimal Cooperative Inference
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi +3
Cooperative transmission of data fosters rapid accumulation of knowledge by efficiently combining experiences across learners. Although well studied in human learning and increasin…