Constrained Policy Optimization Via Bayesian World Models

Constrained Policy Optimization via Bayesian World Models

Aalto Robot Learning Lab

Jose Folch: Transition Constrained Bayesian Optimization

Bayesian Optimization - Math and Algorithm Explained

Machine Learning Mastery

Model-Based Policy Optimization (ICML Workshops)

Andreas Krause: "Safe and Efficient Exploration in Reinforcement Learning"

Institute for Pure & Applied Mathematics (IPAM)

Bayesian Optimization (Bayes Opt): Easy explanation of popular hyperparameter tuning method

DDPS | Bayesian Optimization: Exploiting Machine Learning Models, Physics, & Throughput Experiments

Inside Livermore Lab

Lecture 9, 2023: Bayesian optimization and adaptive control with a POMDP approach. Wordle case study

Dimitri Bertsekas

Bayesian Optimization in the Wild: Risk-Averse Decisions and Budget Constraints

Google TechTalks

Jacob R. Gardner (UPenn) - Scalable Deep Bayesian optimization over Structured Inputs

Gaussian Process Seminar Series

2. Bayesian Optimization

Machine learning - Bayesian optimization and multi-armed bandits

Nando de Freitas

Roberto Calandra - Bayesian optimization for robotics

RLSS 2023 - Safe Reinforcement Learning - Felix Berkenkamp

Universitat Pompeu Fabra - Barcelona

MOPO: Model-Based Offline Policy Optimization

Simons Institute

Bayesian Machine Learning: A PyMC-Centric Introduction (Quan Nguyen)

PyMC Developers

Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505

The TWIML AI Podcast with Sam Charrington

Roman Garnett - Bayesian Optimization

Tübingen Machine Learning