Manfred Diaz

According to our database, Manfred Diaz authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A theory of appropriateness with applications to generative artificial intelligence.

Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Julia Haas, Raphael Koster, Edgar A. Duéñez-Guzmán, William S. Isaac, Georgios Piliouras, Stanley M. Bileschi, Iyad Rahwan, Simon Osindero

CoRR, 2024

Soft Condorcet Optimization for Ranking of General Agents.

Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup

CoRR, 2024

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience.

Manfred Diaz, Liam Paull, Andrea Tacchetti

CoRR, 2024

2021

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization.

Shixiang Shane Gu, Manfred Diaz, C. Daniel Freeman, Hiroki Furuta, Seyed Kamyar Seyed Ghasemipour, Anton Raichuk, Byron David, Erik Frey, Erwin Coumans, Olivier Bachem

CoRR, 2021

Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning.

Manfred Diaz, Thomas Fevens, Liam Paull

Proceedings of the 18th Conference on Robots and Vision, 2021

2019

The AI Driving Olympics at NeurIPS 2018.

Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull

CoRR, 2019

Active Domain Randomization.

Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk.

Manfred Diaz, Roger Girgis, Thomas Fevens, Jeremy R. Cooperstock

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017