Tanmay Gangwani

According to our database, Tanmay Gangwani authored at least 17 papers between 2016 and 2023.

Collaborative distances:

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

2023

Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.

Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal

CoRR, 2023

Selective Uncertainty Propagation in Offline RL.

Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi

CoRR, 2023

Towards Sequential Counterfactual Learning to Rank.

Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2022

Hindsight Foresight Relabeling for Meta-Reinforcement Learning.

Michael Wan, Jian Peng, Tanmay Gangwani

Proceedings of the Tenth International Conference on Learning Representations, 2022

Imitation Learning from Observations under Transition Model Disparity.

Tanmay Gangwani, Yuan Zhou, Jian Peng

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch.

Michael Wan, Tanmay Gangwani, Jian Peng

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning Guidance Rewards with Trajectory-space Smoothing.

Tanmay Gangwani, Yuan Zhou, Jian Peng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Snug: architectural support for relaxed concurrent priority queueing in chip multiprocessors.

Azin Heidarshenas, Tanmay Gangwani, Serif Yesil, Adam Morrison, Josep Torrellas

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

State-only Imitation with Transition Dynamics Mismatch.

Tanmay Gangwani, Jian Peng

Proceedings of the 8th International Conference on Learning Representations, 2020

Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity.

Tanmay Gangwani, Jian Peng, Yuan Zhou

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Partial Redundancy Elimination using Lazy Code Motion.

Sandeep Dasgupta, Tanmay Gangwani

CoRR, 2019

Learning Belief Representations for Imitation Learning in POMDPs.

Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Learning Self-Imitating Diverse Policies.

Tanmay Gangwani, Qiang Liu, Jian Peng

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Distributed and Secure ML with Self-tallying Multi-party Aggregation.

Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl A. Gunter

CoRR, 2018

Policy Optimization by Genetic Distillation.

Tanmay Gangwani, Jian Peng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Genetic Policy Optimization.

Tanmay Gangwani, Jian Peng

CoRR, 2017

2016

CASPAR: Breaking Serialization in Lock-Free Multicore Synchronization.

Tanmay Gangwani, Adam Morrison, Josep Torrellas

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016