AINeutralarXiv – CS AI · 6h ago6/10
🧠
Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
Researchers introduce GLiBRL, a novel deep Bayesian reinforcement learning method that combines generalized linear models with learnable basis functions to improve task generalization. The approach achieves fully tractable Bayesian inference over task parameters and demonstrates up to 1.8x performance improvements over existing meta-RL methods on benchmark tasks.