Showing 5 projects tagged PyTorch.
Four generative model families implemented from scratch and compared under optimal-transport metrics, isolating the trade-off between sample quality and the number of network evaluations needed to draw a sample.
A cooperative multi-agent framework that uses a frozen LLM as a training-time macro-planner, then distils the guidance into the policy so the LLM can be removed entirely at deployment.
A mixture-of-experts agent for the LevDoom Seek and Slay benchmark — five level-specialised DQN experts routed by a learned scene classifier, compressed to fit a deployment size budget.
Binary segmentation of grayscale medical images, built to isolate one question: does the improvement come from the architecture, or from the initialisation?
Predicting a Go player's rank from 1D to 9D out of game records at 80.65% accuracy — treating rank as an ordered quantity rather than nine unrelated classes, with predictions pooled across views, seeds and games.