Multi-Step Reinforcement Learning: A Unifying Algorithm. - Kristopher De Asis; J. Fernando Hernandez-Garcia; G. Zacharias Holland; Richard S. Sutton (AAAI, 2018)

Per-decision Multi-step Temporal Difference Learning with Control Variates. - Kristopher De Asis; Richard S. Sutton (UAI, 2018)

Predicting Periodicity with Temporal Difference Learning. - Kristopher De Asis; Brendan Bennett; Richard S. Sutton (CoRR, 2018)

Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning. - Kristopher De Asis; Alan Chan 001; Silviu Pitis; Richard S. Sutton; Daniel Graves (AAAI, 2020)

Inverse Policy Evaluation for Value-based Sequential Decision-making. - Alan Chan 001; Kristopher De Asis; Richard S. Sutton (CoRR, 2020)

Value-aware Importance Weighting for Off-policy Reinforcement Learning. - Kristopher De Asis; Eric Graves 002; Richard S. Sutton (CoLLAs, 2023)

An Idiosyncrasy of Time-discretization in Reinforcement Learning. - Kris De Asis; Richard S. Sutton (RLJ, 2024)