Bryon Tjanaka

According to our database, Bryon Tjanaka authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning.

Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Density Descent for Diversity Optimization.

David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Quality Diversity for Robot Learning: Limitations and Future Directions.

Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.

Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis

IEEE Robotics Autom. Lett., October, 2023

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization.

Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Surrogate Assisted Generation of Human-Robot Interaction Scenarios.

Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis

Proceedings of the Conference on Robot Learning, 2023

2022

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.

Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis

CoRR, 2022

Deep Surrogate Assisted Generation of Environments.

Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Approximating gradients for differentiable quality diversity in reinforcement learning.

Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

On the Importance of Environments in Human-Robot Coordination.

Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Scalable Hierarchical Agglomerative Clustering.

Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Scalable Bottom-Up Hierarchical Clustering.

Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu

CoRR, 2020