2 papers
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
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…