8 citations · 10 across the 4 of their papers we have counts for
5 papers
Fair Policy Optimization in Major-Minor Weakly Coupled Markov Decision Processes
Xiaohui Tu, Yossiri Adulyasak, Erick Delage
We consider fair resource allocation in sequential decision-making environments modeled as major-minor weakly coupled Markov decision processes (M2WCMDP). In this framework, resour…
Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
Jaike van Twiller, Yossiri Adulyasak, Erick Delage +2
Reinforcement learning (RL) has successfully solved various deterministic and stochastic planning problems. However, conventional RL struggles with complex real-world constraints,…
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Xiaohui Tu, Yossiri Adulyasak, Nima Akbarzadeh +1
We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constraints couple the action sp…
Risk-Aware Decision Making in Restless Bandits: Theory and Algorithms for Planning and Learning
Nima Akbarzadeh, Yossiri Adulyasak, Erick Delage
In restless bandits, a central agent is tasked with optimally distributing limited resources across several bandits (arms), with each arm being a Markov decision process. In this w…
Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic
Yossiri Adulyasak, Maxime C. Cohen, Warut Khern-am-nuai +1
The COVID-19 pandemic has severely disrupted the retail landscape and has accelerated the adoption of innovative technologies. A striking example relates to the proliferation of on…