Temporal Knowledge-Graph Memory in a Partially Observable Environment

Understand

Agents in partially observable environments require persistent memory to integrate observations over time.

• While KGs (knowledge graphs) provide a natural representation for such evolving state, existing benchmarks rarely expose agents to environments where both the world dynamics and the agent's memory are explicitly graph-shaped.
• We introduce the Room Environment v3, a configurable environment whose hidden state is an RDF KG and whose observations are RDF triples.
• The agent may extend these observations into a temporal KG when storing them in long-term memory.