Episodic Context and Persistent Worlds Improve 3D Exploration Agents
arXiv·low signal
Combines episodic memory with curiosity-driven exploration for embodied AI in 3D environments. Persistent world models give agents context about what they've already explored, dramatically improving sample efficiency in sparse-reward, long-horizon tasks. Relevant to developers building embodied AI agents for robotics or game AI.