Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning

no code implementations • 6 May 2021 • Yeo Jin Kim, Min Chi

Much of DRL work has been focused on sequences of events with discrete time steps and ignores the irregular time intervals between consecutive events.

reinforcement-learning Reinforcement Learning (RL) +1

InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem

no code implementations • 2 May 2021 • Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo Jin Kim, Min Chi

Overall, our results show that the effectiveness of InferNet is robust against noisy reward functions and is an effective add-on mechanism for solving temporal CAP in a wide range of RL tasks, from classic RL simulation environments to a real-world RL problem and for both online and offline learning.

Atari Games Offline RL +1