Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion

In three linesRL framework inspired by neuroscience that disentangles dynamics-specific and reward-specific features using locally linear embeddings (LLE) and adaptively fuses representations via attention mechanism. Improves learning efficiency on benchmark tasks compared to conventional RL approaches.

Summary generated by Claude — human-verified