Learning and Policy Search in Stochastic Dynamical Systems with Bayesian
Neural Networks

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

23 May 2016

José Miguel Hernández-Lobato

Finale Doshi-Velez

Papers citing "Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks"

9 / 9 papers shown

Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 115 1 0 26 Mar 2025
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 411 0 0 28 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 128 25 0 01 Oct 2024
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 43 83 0 12 Aug 2020
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences D. Hein Steffen Udluft Michel Tokic A. Hentschel Thomas Runkler V. Sterzing OffRL 31 11 0 20 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 67 31 0 01 May 2017
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 43 79 0 19 Oct 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 159 1,500 0 08 Jun 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 76 646 0 10 Jun 2014