We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Abstract. A temporal logic is proposed as a tool for specifying properties of Klaim programs. Klaim is an experimental programming language that supports a programming paradigm whe...
This paper introduces an extension of linear temporal logic that allows to express properties about systems that are composed of entities (like objects) that can refer to each othe...
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...