5 citations · 5 across the 2 of their papers we have counts for
2 papers
math.OC2019
NERO: Nested Rebalancing Optimization for Mobility on Demand
Tomoki Nishi, Satoshi Koide, Keisuke Otaki +1
Mobility-on-Demand (MoD) services, such as taxi-like services, are promising applications. Rebalancing the vehicle locations against customer requests is a key challenge in the ser…
cs.AI2017★ 5 cited
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics
Tomoki Nishi, Prashant Doshi, Michael R. James +1
In many robotic applications, some aspects of the system dynamics can be modeled accurately while others are difficult to obtain or model. We present a novel reinforcement learning…