papersSEP 10 04:00 UTC
Meta-RL with Bayesian Linear Task Models: v4 Preprint on arXiv
A fourth revision of the preprint 'Meta-RL with Bayesian Linear Task Models' is indexed on arXiv under both machine learning (cs.LG) and AI (cs.AI). The work concerns deep Bayesian reinforcement learning, in which agents adapt to unseen tasks by inferring latent transition and reward dynamics. It notes that prevailing approaches built on variational posteriors and evidence lower bounds introduce approximation error and unstable task inference.