2 citations · 4 across the 5 of their papers we have counts for
4 papers
Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability
Taewoon Kim, Vincent François-Lavet, Michael Cochez
Partially observable reinforcement learning requires deciding what to retain, retrieve, and forget over time. We introduce a neuro-symbolic meta-policy that learns which symbolic m…
Improving Human-Robot Teamwork in Urban Search and Rescue Through Episodic Memory of Prior Collaboration
Taewoon Kim, Emma van Zoelen, Mark Neerincx
Effective human-robot teamwork requires robots to adapt to partners, situations, and task dynamics from the start of an interaction. In the MATRX Urban Search and Rescue (USAR) env…
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Taewoon Kim, Michael Cochez, Vincent François-Lavet +2
Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is mod…
A Machine With Human-Like Memory Systems
Taewoon Kim, Michael Cochez, Vincent Francois-Lavet +2
Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two me…