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Ramki Gummadi
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2020 – today
- 2024
- [c8]Ying Jin, Ramki Gummadi, Zhengyuan Zhou, Jose H. Blanchet:
Feasible Q-Learning for Average Reward Reinforcement Learning. AISTATS 2024: 1630-1638 - [c7]Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans:
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. ICML 2024 - [i5]Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans:
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. CoRR abs/2405.21043 (2024) - [i4]Dilip Arumugam, Saurabh Kumar, Ramki Gummadi, Benjamin Van Roy:
Satisficing Exploration for Deep Reinforcement Learning. CoRR abs/2407.12185 (2024) - 2023
- [c6]Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi:
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network. NSDI 2023: 1149-1163 - 2022
- [c5]Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans:
Understanding and Leveraging Overparameterization in Recursive Value Estimation. ICLR 2022 - [c4]Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans:
A Parametric Class of Approximate Gradient Updates for Policy Optimization. ICML 2022: 7998-8015 - [i3]Ramki Gummadi, Saurabh Kumar, Junfeng Wen, Dale Schuurmans:
A Parametric Class of Approximate Gradient Updates for Policy Optimization. CoRR abs/2206.08499 (2022) - 2021
- [c3]Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans:
Characterizing the Gap Between Actor-Critic and Policy Gradient. ICML 2021: 11101-11111 - [i2]Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans:
Characterizing the Gap Between Actor-Critic and Policy Gradient. CoRR abs/2106.06932 (2021)
2010 – 2019
- 2019
- [c2]Minmin Chen, Ramki Gummadi, Chris Harris, Dale Schuurmans:
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. NeurIPS 2019: 8825-8835 - 2018
- [c1]Aditya Grover, Ramki Gummadi, Miguel Lázaro-Gredilla, Dale Schuurmans, Stefano Ermon:
Variational Rejection Sampling. AISTATS 2018: 823-832 - [i1]Aditya Grover, Ramki Gummadi, Miguel Lázaro-Gredilla, Dale Schuurmans, Stefano Ermon:
Variational Rejection Sampling. CoRR abs/1804.01712 (2018)
Coauthor Index
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