Co-occurring keywords · papers mentioning both
Papers
Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation
CVPR 2026
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
NeurIPS 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
ICLR 2022
Policy Gradient Bayesian Robust Optimization for Imitation Learning
ICML 2021
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search
NeurIPS 2013