202 citations · 242 across the 14 of their papers we have counts for
7 papers · 1 filter
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang, Matthias Poloczek, Daniel R. Jiang
Reinforcement learning in sparse-reward navigation environments with expensive and limited interactions is challenging and poses a need for effective exploration. Motivated by comp…
Structured Actor-Critic for Managing Public Health Points-of-Dispensing
Yijia Wang, Daniel R. Jiang
Public health organizations face the problem of dispensing treatments (i.e., vaccines, antibiotics, and others) to groups of affected populations through "points-of-dispensing" (PO…
Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds
Daniel R. Jiang, Lina Al-Kanj, Warren B. Powell
Monte Carlo Tree Search (MCTS), most famously used in game-play artificial intelligence (e.g., the game of Go), is a well-known strategy for constructing approximate solutions to s…
Practicality of Nested Risk Measures for Dynamic Electric Vehicle Charging
Daniel R. Jiang, Warren B. Powell
We consider the sequential decision problem faced by the manager of an electric vehicle (EV) charging station, who aims to satisfy the charging demand of the customer while minimiz…
Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures
Daniel R. Jiang, Warren B. Powell
In this paper, we consider a finite-horizon Markov decision process (MDP) for which the objective at each stage is to minimize a quantile-based risk measure (QBRM) of the sequence…
Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage using Approximate Dynamic Programming
Daniel R. Jiang, Warren B. Powell
There is growing interest in the use of grid-level storage to smooth variations in supply that are likely to arise with increased use of wind and solar energy. Energy arbitrage, th…