2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
NeurIPS 2020poster
Value-function-based methods have long played an important role in reinforcement learning. However, finding the best next action given a value function of arbitrary complexity is nontrivial when the action space is too large for enumeration. We develop a framework for value-function-based deep reinf…