引用次数
引用: 1,391
H-指数: 10
I10-指数 : 10
出版物: 31
Generative Multi-Adversarial Networks
Ian Gemp , Sridhar Mahadevan , Ishan P. Durugkar
international conference on learning representations
355
2016
Cohort Intelligence: A Self Supervised Learning Behavior
Anand J Kulkarni , Ishan P Durugkar , Mrinal Kumar ,
systems, man and cybernetics 1396 -1400
106
2013
Deep reinforcement learning with macro-actions
Ishan P Durugkar , Clemens Rosenbaum , Stefan Dernbach , Sridhar Mahadevan
arXiv preprint arXiv:1606.04615
27
2016
Cohort Intelligence: A Self Supervised Learning Behavior
Anand J Kulkarni , Ishan P Durugkar , Mrinal Kumar ,
systems, man and cybernetics 1396 -1400
106
2013
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.
Mohammad Ghavamzadeh , Emma Brunskill , Georgios Theocharous , Ishan Durugkar
national conference on artificial intelligence 4740 -4745
14
2017
Adversarial Goal Generation for Intrinsic Motivation.
Peter Stone , Ishan Durugkar
national conference on artificial intelligence 8073 -8074
1
2018
Multi-Preference Actor Critic.
Patrick MacAlpine , Matthew J. Hausknecht , Adith Swaminathan , Ishan Durugkar
arXiv: Learning
1
2019
HR-TD: A Regularized TD Method to Avoid Over-Generalization
Peter Stone , Ishan Durugkar , Bo Liu
2018
Reducing Sampling Error in Batch Temporal Difference Learning
Peter Stone , Ishan Durugkar , Josiah Hanna , Brahma Pavse
international conference on machine learning 1 7543 -7552
11
2020
An Imitation from Observation Approach to Sim-to-Real Transfer.
Siddharth Desai , Ishan Durugkar , Haresh Karnan , Garrett Warnell
arXiv: Artificial Intelligence
1
2020
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Garrett Warnell , Peter Stone , Ishan Durugkar , Josiah Hanna
arXiv: Artificial Intelligence
22
2020
Adversarial Intrinsic Motivation for Reinforcement Learning.
Scott Niekum , Peter Stone , Ishan Durugkar , Mauricio Tec
arXiv: Learning
8
2021
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Ishan Durugkar , Elad Liebman , Peter Stone
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence 3 2505 -2511
10
2020
Unmixing in the presence of nuisances with deep generative models
Mario Parente , Ian Gemp , Ishan Durugkar
international geoscience and remote sensing symposium 5189 -5192
1
2017
REASONING OVER PATHS IN KNOWLEDGE BASES USING REINFORCEMENT LEARNING
Rajarshi Das , Shehzaad Dhuliawala , Manzil Zaheer , Luke Vilnis
arXiv preprint arXiv:1711.05851
2017
Wasserstein distance maximizing intrinsic control
Ishan Durugkar , Steven Hansen , Stephen Spencer , Volodymyr Mnih
arXiv preprint arXiv:2110.15331
2021
Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
Rajarshi Das , Shehzaad Dhuliawala , Manzil Zaheer , Luke Vilnis
arXiv preprint arXiv:1711.05851
561
2017
ABC: Adversarial behavioral cloning for offline mode-seeking imitation learning
Eddy Hudson , Ishan Durugkar , Garrett Warnell , Peter Stone
Neural Information Processing Systems Workshop on Offline RL
2
2022
TD learning with constrained gradients
Ishan Durugkar , Peter Stone
14
2018
Towards a real-time, low-resource, end-to-end object detection pipeline for robot soccer
Sai Kiran Narayanaswami , Mauricio Tec , Ishan Durugkar , Siddharth Desai
Springer International Publishing 62 -74
5
2022
Peter Stone Sridhar Mahadevan Ian Gemp Rajarshi Das Luke Vilnis Shehzaad Dhuliawala Akshay Krishnamurthy Andrew McCallum Alex Smola Manzil Zaheer Josiah P. Hanna Garrett Warnell Mauricio Tec Dr Anand J Kulkarni Elad Liebman Haresh Karnan Philip Thomas Emma Brunskill Georgios Theocharous Brahma S Pavse