Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments
Sherif Abdelfattah, Kathryn Kasmarik, Jiankun Hu
Multi-objective Markov decision processes are a special kind of multi-objective optimization problem that involves sequential decision making while satisfying the Markov property o…
cs.LG2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes
Sherif Abdelfattah, Kathryn Merrick, Jiankun Hu
Multi-objective Markov decision processes are sequential decision-making problems that involve multiple conflicting reward functions that cannot be optimized simultaneously without…