Ishan Durugkar

Affiliations:
  • University of Texas at Austin, TX, USA


According to our database1, Ishan Durugkar authored at least 22 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
N-Agent Ad Hoc Teamwork.
CoRR, 2024

2023
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning.
CoRR, 2022

DM<sup>2</sup>: Distributed Multi-Agent Reinforcement Learning for Distribution Matching.
CoRR, 2022

Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer.
Proceedings of the RoboCup 2022:, 2022

2021
Wasserstein Distance Maximizing Intrinsic Control.
CoRR, 2021

Adversarial Intrinsic Motivation for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
An Imitation from Observation Approach to Sim-to-Real Transfer.
CoRR, 2020

An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reducing Sampling Error in Batch Temporal Difference Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Multi-Preference Actor Critic.
CoRR, 2019

2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Adversarial Goal Generation for Intrinsic Motivation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Unmixing in the presence of nuisances with deep generative models.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Generative Multi-Adversarial Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Deep Generative Models for Spectroscopic Analysis on Mars.
CoRR, 2016

Deep Reinforcement Learning With Macro-Actions.
CoRR, 2016

2013
Cohort Intelligence: A Self Supervised Learning Behavior.
Proceedings of the IEEE International Conference on Systems, 2013


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