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2020 – today
- 2025
[i14]Guanlin Liu, Anand Ramachandran, Tanmay Gangwani, Yan Fu, Abhinav Sethy:
Knowledge Distillation with Training Wheels. CoRR abs/2502.17717 (2025)- 2024
- [c13]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS 2024: 3862-3870 - 2023
- [c12]Tesi Xiao
, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi:
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP 2023: 122-128 - [i13]Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi:
Selective Uncertainty Propagation in Offline RL. CoRR abs/2302.00284 (2023) - [i12]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR abs/2311.13159 (2023) - 2022
- [c11]Tanmay Gangwani, Yuan Zhou, Jian Peng:
Imitation Learning from Observations under Transition Model Disparity. ICLR 2022 - [c10]Michael Wan, Jian Peng, Tanmay Gangwani:
Hindsight Foresight Relabeling for Meta-Reinforcement Learning. ICLR 2022 - [i11]Tanmay Gangwani, Yuan Zhou, Jian Peng:
Imitation Learning from Observations under Transition Model Disparity. CoRR abs/2204.11446 (2022) - 2021
- [i10]Michael Wan, Jian Peng, Tanmay Gangwani:
Hindsight Foresight Relabeling for Meta-Reinforcement Learning. CoRR abs/2109.09031 (2021) - 2020
- [c9]Tanmay Gangwani, Jian Peng, Yuan Zhou:
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRL 2020: 2206-2215 - [c8]Tanmay Gangwani, Jian Peng:
State-only Imitation with Transition Dynamics Mismatch. ICLR 2020 - [c7]Azin Heidarshenas, Tanmay Gangwani, Serif Yesil, Adam Morrison, Josep Torrellas:
Snug: architectural support for relaxed concurrent priority queueing in chip multiprocessors. ICS 2020: 18:1-18:13 - [c6]Tanmay Gangwani, Yuan Zhou, Jian Peng:
Learning Guidance Rewards with Trajectory-space Smoothing. NeurIPS 2020 - [c5]Michael Wan, Tanmay Gangwani, Jian Peng:
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. UAI 2020: 1218-1227 - [i9]Tanmay Gangwani, Jian Peng:
State-only Imitation with Transition Dynamics Mismatch. CoRR abs/2002.11879 (2020) - [i8]Michael Wan, Tanmay Gangwani, Jian Peng:
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. CoRR abs/2006.07041 (2020) - [i7]Tanmay Gangwani, Yuan Zhou, Jian Peng:
Learning Guidance Rewards with Trajectory-space Smoothing. CoRR abs/2010.12718 (2020) - [i6]Tanmay Gangwani, Jian Peng, Yuan Zhou:
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. CoRR abs/2011.02614 (2020)
2010 – 2019
- 2019
- [c4]Tanmay Gangwani, Qiang Liu, Jian Peng:
Learning Self-Imitating Diverse Policies. ICLR (Poster) 2019 - [c3]Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. UAI 2019: 1061-1071 - [i5]Sandeep Dasgupta, Tanmay Gangwani:
Partial Redundancy Elimination using Lazy Code Motion. CoRR abs/1905.08178 (2019) - [i4]Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. CoRR abs/1906.09510 (2019) - 2018
- [c2]Tanmay Gangwani, Jian Peng:
Policy Optimization by Genetic Distillation. ICLR (Poster) 2018 - [i3]Tanmay Gangwani, Qiang Liu, Jian Peng:
Learning Self-Imitating Diverse Policies. CoRR abs/1805.10309 (2018) - [i2]Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl A. Gunter:
Distributed and Secure ML with Self-tallying Multi-party Aggregation. CoRR abs/1811.10296 (2018) - 2017
- [i1]Tanmay Gangwani, Jian Peng:
Genetic Policy Optimization. CoRR abs/1711.01012 (2017) - 2016
- [c1]Tanmay Gangwani, Adam Morrison, Josep Torrellas:
CASPAR: Breaking Serialization in Lock-Free Multicore Synchronization. ASPLOS 2016: 789-804
Coauthor Index
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