Tanmay Gangwani

Orcid: 0009-0009-6144-6149

According to our database1, Tanmay Gangwani authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Selective Uncertainty Propagation in Offline RL.
CoRR, 2023

Towards Sequential Counterfactual Learning to Rank.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Imitation Learning from Observations under Transition Model Disparity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning Guidance Rewards with Trajectory-space Smoothing.
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.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

State-only Imitation with Transition Dynamics Mismatch.
Proceedings of the 8th International Conference on Learning Representations, 2020

Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Partial Redundancy Elimination using Lazy Code Motion.
CoRR, 2019

Learning Belief Representations for Imitation Learning in POMDPs.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Learning Self-Imitating Diverse Policies.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Distributed and Secure ML with Self-tallying Multi-party Aggregation.
CoRR, 2018

Policy Optimization by Genetic Distillation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Genetic Policy Optimization.
CoRR, 2017

2016
CASPAR: Breaking Serialization in Lock-Free Multicore Synchronization.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016


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