2 citations · 2 across the 1 of their papers we have counts for
4 papers
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
Benjamin Rivière, Soon-Jo Chung
We present H-TD2: Hybrid Temporal Difference Learning for Taxi Dispatch, a model-free, adaptive decision-making algorithm to coordinate a large fleet of automated taxis in a dynami…
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
Benjamin Riviere, Wolfgang Hoenig, Matthew Anderson +1
We present a self-improving, Neural Tree Expansion (NTE) method for multi-robot online planning in non-cooperative environments, where each robot attempts to maximize its cumulativ…
Distributed Adaptive Reinforcement Learning: A Method for Optimal Routing
Salar Rahili, Benjamin Riviere, Soon-Jo Chung
In this paper, a learning-based optimal transportation algorithm for autonomous taxis and ridesharing vehicles is presented. The goal is to design a mechanism to solve the routing…
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
Benjamin Rivière, Wolfgang Hoenig, Yisong Yue +1
We present GLAS: Global-to-Local Autonomy Synthesis, a provably-safe, automated distributed policy generation for multi-robot motion planning. Our approach combines the advantage o…