Maxime Daigle

A summary figure for a NeurIPS competition where AI agents compete with mice in a visual foraging task.

Mice learn these tasks and are robust to perturbations like fog. Now, we invite you all to make AI agents to beat mice.

We present our #NeurIPS competition. You can learn about it here: robustforaging.github.io (7/n)

Building spatial world models from sparse transitional episodic memories Many animals possess a remarkable capacity to rapidly construct flexible mental models of their environments. These world models are crucial for ethologically relevant behaviors such as navigation, ex...

Looks fantastic! Exciting that our results seem to converge. We found something similar: from sparse episodic memories, in-context learning in transformer can build spatial maps that adapt on the fly to environmental changes. Here's our take on this: arxiv.org/abs/2505.13696 Would love to discuss!