Baylearn 2020: Deployment-Efficient Reinforcement Learning Via Model-Based Offline Optimization

BayLearn 2020: Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

Tatsuya MATSUSHIMA

Offline Reinforcement Learning: BayLearn 2021 Keynote Talk

RAIL

MOPO: Model-Based Offline Policy Optimization

Simons Institute

Offline Reinforcement Learning and Model-Based Optimization

Simons Institute

BayLearn 2020: Whitening and second order optimization

BayLearn 2020: Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control

Model-Based Policy Optimization (ICML Workshops)

Delta Schema Network in Model based Reinforcement Learning - Aleksandra Shlychkova

[Talk] Planning through Exploration and Exploitation in Model-based Reinforcement Learning

Offline Reinforcement Learning

RAIL

MLPC2020: Learning to Fly via Deep Model-Based Reinforcement Learning

Machine Learning for Planning and Control Workshop

Offline Reinforcement Learning

RAIL

MOPO, a model-based offline Reinforcement Learning algorithm (Paper Explained)

Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning

Machine Learning Street Talk