New paper 🚨 "Stable Deep Reinforcement Learning via Isotropic Gaussian Representations" Deep RL suffers from unstable training, representation collapse, and neuron dormancy. We show that a simple geometric insight, isotropic Gaussian representations, can fix this. Here's how 👇
Zihan
@zhweng.bsky.social
PhD Student @mcgill.ca | {Biological,Artificial} Neural Networks
1/9 🚨Thrilled to share "Caption This, Reason That", a #NeurIPS2025 Spotlight! 🔦 Meet us at #2112, 3 Dec 11 a.m. We analyze VLM limitations through the lens of Cognitive Science (Perception, Attention, Memory) and propose a simple "Self-Captioning" method that boosts spatial reasoning by ~18%. 🧵👇