Ramki Gummadi

According to our database, Ramki Gummadi authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Satisficing Exploration for Deep Reinforcement Learning.

Dilip Arumugam, Saurabh Kumar, Ramki Gummadi, Benjamin Van Roy

CoRR, 2024

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation.

Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feasible Q-Learning for Average Reward Reinforcement Learning.

Ying Jin, Ramki Gummadi, Zhengyuan Zhou, Jose H. Blanchet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network.

Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

A Parametric Class of Approximate Gradient Updates for Policy Optimization.

Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans

Proceedings of the International Conference on Machine Learning, 2022

Understanding and Leveraging Overparameterization in Recursive Value Estimation.

Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Characterizing the Gap Between Actor-Critic and Policy Gradient.

Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Surrogate Objectives for Batch Policy Optimization in One-step Decision Making.

Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Variational Rejection Sampling.

Aditya Grover, Ramki Gummadi, Miguel Lázaro-Gredilla, Dale Schuurmans, Stefano Ermon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018