neuroai

The paper proposes calibrating an artificial guilt reward signal from human neural and behavioral fMRI data, then embeds it in multi-agent PPO agents. The neurally calibrated agents match human social decision rates far better than hand-tuned or selfish baselines.

This paper presents gradCSCG, a differentiable reformulation of the Clone-Structured Causal Graph algorithm for end-to-end learning of cognitive maps directly from image sequences, combining it with a vector-quantized variational autoencoder.