Vashisht Madhavan

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 12

Top Topics

Learning Agents

Genetic Algorithm

Reinforcement Learning

Top Venues

ECCV Workshops (3)

Publications

Manoj Alwani, Yang Wang, Vashisht Madhavan
DECORE: Deep Compression with Reinforcement Learning. CVPR (2022)
Manoj Alwani, Vashisht Madhavan, Yang Wang
DECORE: Deep Compression with Reinforcement Learning. CoRR (2021)
Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
Scaling MAP-Elites to Deep Neuroevolution. CoRR (2020)
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR (2020)
Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
Scaling MAP-Elites to deep neuroevolution. GECCO (2020)
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI (2019)
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR (2018)
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS (2018)
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. CoRR (2018)
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR (2017)
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR (2017)
Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) (2016)