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Tarun Gupta
Tarun Gupta
University of Oxford, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Is independent learning all you need in the starcraft multi-agent challenge?
T Gupta*, CS de Witt*, D Makoviichuk, V Makoviychuk, PHS Torr, M Sun, ...
arXiv preprint arXiv:2011.09533, 2020
2592020
Rode: Learning roles to decompose multi-agent tasks
T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang
International Conference on Learning Representations (ICLR) 2021, 2020
1862020
Uneven: Universal value exploration for multi-agent reinforcement learning
T Gupta, A Mahajan, B Peng, W Böhmer, S Whiteson
International Conference on Machine Learning (ICML), 3930-3941, 2021
492021
Generalization in cooperative multi-agent systems
A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ...
arXiv preprint arXiv:2202.00104, 2022
152022
Planning and learning for decentralized mdps with event driven rewards
T Gupta, A Kumar, P Paruchuri
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
122018
Is independent learning all you need in the starcraft multi-agent challenge?
C Schroeder de Witt, T Gupta, D Makoviichuk, V Makoviychuk, PHS Torr, ...
arXiv e-prints, arXiv: 2011.09533, 2020
112020
Successor features based multi-agent rl for event-based decentralized mdps
T Gupta, A Kumar, P Paruchuri
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6054-6061, 2019
62019
Reinforcement Learning for Zone Based Multiagent Pathfinding under Uncertainty
J Ling, T Gupta, A Kumar
Proceedings of the International Conference on Automated Planning and …, 2020
52020
Foundation Models for Semantic Novelty in Reinforcement Learning
T Gupta, P Karkus, T Che, D Xu, M Pavone
NeurIPS 2022 Workshop on Foundation Models for Decision Making, 2022
32022
The Essential Role of Causality in Foundation World Models for Embodied AI
T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, A Famoti, ...
arXiv preprint arXiv:2402.06665, 2024
22024
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
B Vasilev, T Gupta, B Peng, S Whiteson
Adaptive and Learning Agents Workshop (ALA) at AAMAS 2021, 2021
22021
Hierarchical Imitation Learning for Stochastic Environments
M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ...
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
12023
Latent Hierarchical Imitation Learning for Stochastic Environments
M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ...
Proc. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2023 …, 2022
12022
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