Tanmay Gangwani

30 papers A* 6A 4Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Analysis of Offline Model-Based Learning with Action Noise. J. Sci. Comput. Haoya Li, Tanmay Gangwani, Lexing Ying
2025	J	`jnl`	Knowledge Distillation with Training Wheels. CoRR Guanlin Liu, Anand Ramachandran, Tanmay Gangwani, Yan Fu, Abhinav Sethy
2025	J	`jnl`	RewardRank: Optimizing True Learning-to-Rank Utility. CoRR Gaurav Bhatt, Kiran Koshy Thekumparampil, Tanmay Gangwani, Tesi Xiao, Leonid Sigal
2025	A*	`conf`	Selective Uncertainty Propagation in Offline RL. AAAI Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi
2024	A	`conf`	Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023	J	`jnl`	Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023	J	`jnl`	Selective Uncertainty Propagation in Offline RL. CoRR Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
2023	—	`conf`	Towards Sequential Counterfactual Learning to Rank. SIGIR-AP Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
2022	A*	`conf`	Hindsight Foresight Relabeling for Meta-Reinforcement Learning. ICLR Michael Wan, Jian Peng, Tanmay Gangwani
2022	A*	`conf`	Imitation Learning from Observations under Transition Model Disparity. ICLR Tanmay Gangwani, Yuan Zhou, Jian Peng
2022	J	`jnl`	Imitation Learning from Observations under Transition Model Disparity. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2021	J	`jnl`	Hindsight Foresight Relabeling for Meta-Reinforcement Learning. CoRR Michael Wan, Jian Peng, Tanmay Gangwani
2020	Misc	`conf`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRL Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	J	`jnl`	Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRR Tanmay Gangwani, Jian Peng, Yuan Zhou
2020	A*	`conf`	Learning Guidance Rewards with Trajectory-space Smoothing. NeurIPS Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	J	`jnl`	Learning Guidance Rewards with Trajectory-space Smoothing. CoRR Tanmay Gangwani, Yuan Zhou, Jian Peng
2020	A	`conf`	Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. UAI Michael Wan, Tanmay Gangwani, Jian Peng
2020	J	`jnl`	Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. CoRR Michael Wan, Tanmay Gangwani, Jian Peng
2020	A	`conf`	Snug: architectural support for relaxed concurrent priority queueing in chip multiprocessors. ICS Azin Heidarshenas, Tanmay Gangwani, Serif Yesil, Adam Morrison, Josep Torrellas
2020	A*	`conf`	State-only Imitation with Transition Dynamics Mismatch. ICLR Tanmay Gangwani, Jian Peng
2020	J	`jnl`	State-only Imitation with Transition Dynamics Mismatch. CoRR Tanmay Gangwani, Jian Peng
2019	A	`conf`	Learning Belief Representations for Imitation Learning in POMDPs. UAI Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	J	`jnl`	Learning Belief Representations for Imitation Learning in POMDPs. CoRR Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	—	`conf`	Learning Self-Imitating Diverse Policies. ICLR (Poster) Tanmay Gangwani, Qiang Liu, Jian Peng
2019	J	`jnl`	Partial Redundancy Elimination using Lazy Code Motion. CoRR Sandeep Dasgupta, Tanmay Gangwani
2018	J	`jnl`	Distributed and Secure ML with Self-tallying Multi-party Aggregation. CoRR Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl A. Gunter
2018	J	`jnl`	Learning Self-Imitating Diverse Policies. CoRR Tanmay Gangwani, Qiang Liu, Jian Peng
2018	—	`conf`	Policy Optimization by Genetic Distillation. ICLR (Poster) Tanmay Gangwani, Jian Peng
2017	J	`jnl`	Genetic Policy Optimization. CoRR Tanmay Gangwani, Jian Peng
2016	A*	`conf`	CASPAR: Breaking Serialization in Lock-Free Multicore Synchronization. ASPLOS Tanmay Gangwani, Adam Morrison, Josep Torrellas