Full Bayesian Reinforcement Learning via LF-IBIS

arXiv:2607.01741 · stat.ML, cs.AI, cs.LG · Submitted 2026-07-02 · Read on arXiv

Stefano Masini, Cecilia Viscardi, Michela Baccini

stat.ML, cs.AI, cs.LG

Submitted: 2026-07-02

Comments: 37 pages, 12 figures, 4 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 26× in this paper · explained in 4 episodes
• Bayesian Inference — 11× in this paper · explained in 6 episodes
• Iterated Batch Importance Sampling — 11× in this paper
• Approximate Bayesian Computation — 10× in this paper
• Bayesian Reinforcement Learning — 9× in this paper
• Sequential Monte Carlo — 9× in this paper
• Response-Adaptive Randomization — 6× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Bayesian Framework — 3× in this paper · explained in 3 episodes
• Bayesian Mean Squared Error — 3× in this paper
• Effective Sample Size — 3× in this paper
• Markov Decision Process — 3× in this paper
• Reinforcement Learning (RL) — 3× in this paper · explained in 26 episodes
• Reward Function — 3× in this paper · explained in 4 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Degeneracy — 2× in this paper · explained in 4 episodes
• Editor — 2× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 2× in this paper · explained in 16 episodes
• Asymptotic Normality — 1× in this paper · explained in 2 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Effective Sample Size (ESS) — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Kullback–Leibler Divergence — 1× in this paper · explained in 2 episodes
• Monte Carlo Sampling — 1× in this paper · explained in 2 episodes
• Sequential Monte Carlo (SMC) — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes
• Wasserstein Distance — 1× in this paper · explained in 6 episodes

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