Reinforcement Learning and
Artificial
Intelligence (RLAI)
Predictive representations meeting
This is a working meeting for research in predictive representations of
world knowledge as an approach to artificial intelligence and
reinforcement learning. Current focuses are on
Temporal-difference networks
Off-policy learning
Predictive state representations
Temporal abstraction (options)
Universal predictive knowledge (UPK) algorithms
All those genuinely doing work in these areas are invited to attend.
The meeting is held friday from 1:30-2:30 in Ath 3-13 (Rich's office) at the University of Alberta.
