Variational Rejection Sampling. - Aditya Grover; Ramki Gummadi; Miguel Lázaro-Gredilla; Dale Schuurmans; Stefano Ermon (AISTATS, 2018)

Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. - Minmin Chen; Ramki Gummadi; Chris Harris 001; Dale Schuurmans (NeurIPS, 2019)

Characterizing the Gap Between Actor-Critic and Policy Gradient. - Junfeng Wen; Saurabh Kumar 004; Ramki Gummadi; Dale Schuurmans (ICML, 2021)

Understanding and Leveraging Overparameterization in Recursive Value Estimation. - Chenjun Xiao; Bo Dai 001; Jincheng Mei; Oscar A. Ramirez; Ramki Gummadi; Chris Harris 001; Dale Schuurmans (ICLR, 2022)

A Parametric Class of Approximate Gradient Updates for Policy Optimization. - Ramki Gummadi; Saurabh Kumar 004; Junfeng Wen; Dale Schuurmans (ICML, 2022)

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 (NSDI, 2023)

Feasible Q-Learning for Average Reward Reinforcement Learning. - Ying Jin; Ramki Gummadi; Zhengyuan Zhou; Jose H. Blanchet (AISTATS, 2024)

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. - Fengdi Che; Chenjun Xiao; Jincheng Mei; Bo Dai 001; Ramki Gummadi; Oscar A. Ramirez; Christopher K. Harris; A. Rupam Mahmood; Dale Schuurmans (ICML, 2024)

Satisficing Exploration for Deep Reinforcement Learning. - Dilip Arumugam; Saurabh Kumar 004; Ramki Gummadi; Benjamin Van Roy (CoRR, 2024)