Functional Decision Theory in an Evolutionary Environment. - Noah Topper (CoRR, 2020)

Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes. - Alvaro Velasquez; Andre Beckus; Taylor Dohmen; Ashutosh Trivedi 001; Noah Topper; George K. Atia (CoRR, 2021)

Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning. - Taylor Dohmen; Noah Topper; George K. Atia; Andre Beckus; Ashutosh Trivedi 001; Alvaro Velasquez (ICAPS, 2022)

Active Grammatical Inference for Non-Markovian Planning. - Noah Topper; George K. Atia; Ashutosh Trivedi 001; Alvaro Velasquez (ICAPS, 2022)

Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards. - Noah Topper; Alvaro Velasquez; George K. Atia (CoRR, 2024)