Multi - Criterion Reinfor

On Using Guidan e in Relational Reinfor ement Learning

Algorithms for Inverse Reinfor ement Learning

Countering Deception in Multiagent Reinforcement Learning

ABSTRACT Multiagent Reinfor ement Learning (MRL) is a growing area of resear h. What makes it parti ularly hallenging is the non-stationarity of the target fun tion. Most of the existing work in this area, however, address either stationary environments or self-play. We assume an asymmetri and non-stationary environment where other agents an be of arbitrary dispositions. In parti ular, agents a...

Fuzzy Model-Based Reinfor ement Learning

Reinfor ement Learning with Bidding for Automati Segmentation