most citedUsing Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2021★ 5 cited

Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions

Chao Zhang, Shihan Wang, Henk Aarts +1

Reinforcement learning (RL) agents in human-computer interactions applications require repeated user interactions before they can perform well. To address this "cold start" problem…