Bryon Tjanaka

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Hierarchical Agglomerative

Top Venues

IEEE Robotics Autom. Lett.

Publications

Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme
Quality Diversity for Robot Learning: Limitations and Future Directions. CoRR (2024)
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
Density Descent for Diversity Optimization. GECCO (2024)
Sumeet Batra, Bryon Tjanaka, Matthew Christopher Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. ICLR (2024)
Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis, Gaurav S. Sukhatme
Quality Diversity for Robot Learning: Limitations and Future Directions. GECCO Companion (2024)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR (2023)
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
Density Descent for Diversity Optimization. CoRR (2023)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. GECCO (2023)
Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL (2023)
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Aniruddha Kalkar, Stefanos Nikolaidis
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. IEEE Robotics Autom. Lett. 8 (10) (2023)
Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR (2023)
Sumeet Batra, Bryon Tjanaka, Matthew C. Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav S. Sukhatme
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning. CoRR (2023)
Bryon Tjanaka, Matthew C. Fontaine, Aniruddha Kalkar, Stefanos Nikolaidis
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing. CoRR (2022)
Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning. CoRR (2022)
Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis
Approximating gradients for differentiable quality diversity in reinforcement learning. GECCO (2022)
Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
Deep Surrogate Assisted Generation of Environments. CoRR (2022)
Varun Bhatt, Bryon Tjanaka, Matthew C. Fontaine, Stefanos Nikolaidis
Deep Surrogate Assisted Generation of Environments. NeurIPS (2022)
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems (2021)
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
Scalable Hierarchical Agglomerative Clustering. KDD (2021)
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis
On the Importance of Environments in Human-Robot Coordination. CoRR (2021)
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Bottom-Up Hierarchical Clustering. CoRR (2020)