Maxime Daigle
@maximemdaigle.bsky.social
Ph.D. Student Mila / McGill. Machine learning and Neuroscience, Memory and Hippocampus
Reposted by Maxime Daigle
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)
We present our #NeurIPS competition. You can learn about it here: robustforaging.github.io (7/n)
July 10, 2025 at 12:22 PM
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)
We present our #NeurIPS competition. You can learn about it here: robustforaging.github.io (7/n)
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!
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...
arxiv.org
June 26, 2025 at 9:46 PM
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!