16 citations · 67 across the 21 of their papers we have counts for
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cs.LG2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
Yeo Jin Kim, Min Chi
Deep Reinforcement Learning (DRL) has shown outstanding performance on inducing effective action policies that maximize expected long-term return on many complex tasks. Much of DRL…
cs.LG2021★ 1 cited
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju +2
The temporal Credit Assignment Problem (CAP) is a well-known and challenging task in AI. While Reinforcement Learning (RL), especially Deep RL, works well when immediate rewards ar…
cs.HC2021
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Christa Cody, Mehak Maniktala, Nicholas Lytle +2
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance,…