#Deep Learning
6 posts tagged with "Deep Learning"
Why 1000-Layer Networks Finally Work for Reinforcement Learning
•10 min read
#reinforcement learning#deep learning#goal-conditioned rl#network architecture#self-supervised learning
Recent research shows 1024-layer networks achieve 2x to 50x improvements in goal-conditioned RL. Here's why extreme depth works now, and when you should consider it for your own agents.
Tensor Logic: One Equation to Rule Them All
•12 min read
Pedro Domingos proposes that neural networks and symbolic AI are the same mathematical operation - a logical rule can be equivalently written as a tensor equation in Einstein summation notation. If true, we've been building separate tools for problems that share identical structure.
When Machines Design Their Own Learning Algorithms
•13 min read
#reinforcement learning#meta-learning#algorithm discovery#deep learning#ai research#machine learning
A machine trained on simple grid worlds beat every hand-designed RL algorithm on Atari. DeepMind's DiscoRL discovers algorithms through meta-learning that outperform DQN, PPO, and A3C - methods humans spent decades developing.