10 citations · 11 across the 5 of their papers we have counts for
6 papers
Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Haochen Wu, Yi Hou, Shiguang Xie
Dispatch in three-sided marketplaces provides a natural setting for reinforcement learning from world feedback: decisions are evaluated by delayed operational outcomes such as deli…
Cellular flow control design for mixing based on the least action principle
Weiwei Hu, Ming-Jun Lai, Hao-Ning Wu
We consider a novel approach for the enhancement of fluid mixing via pure stirring strategies building upon the Least Action Principle (LAP) for incompressible flows. The LAP is fo…
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Haochen Wu, Shubham Sharma, Sunandita Patra +1
With the growing use of machine learning (ML) models in critical domains such as finance and healthcare, the need to offer recourse for those adversely affected by the decisions of…
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
Haochen Wu, Pedro Sequeira, David V. Pynadath
We approach the problem of understanding how people interact with each other in collaborative settings, especially when individuals know little about their teammates, via Multiagen…
Accelerated RRT* By Local Directional Visibility
Chenxi Feng, Haochen Wu
RRT* is an efficient sampling-based motion planning algorithm. However, without taking advantages of accessible environment information, sampling-based algorithms usually result in…
Task Allocation with Load Management in Multi-Agent Teams
Haochen Wu, Amin Ghadami, Alparslan Emrah Bayrak +2
In operations of multi-agent teams ranging from homogeneous robot swarms to heterogeneous human-autonomy teams, unexpected events might occur. While efficiency of operation for mul…