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ORCIDSriram Srinivasan 0005
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation: DeepMind, London, UK
- affiliation: University of Alberta, Department of Computing Science, Reinforcement Learning and Artificial Intelligence Laboratory, Edmonton, AB, Canada
Other persons with the same name
- Sriram Srinivasan — disambiguation page
- Sriram Srinivasan 0001
![[0000-0003-0085-309X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0085-309X")
— Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA, USA (and 1 more) - Sriram Srinivasan 0002 — University of Cambridge, UK
- Sriram Srinivasan 0003 — Microsoft Corporation, Redmond, WA, USA (and 2 more)
- Sriram Srinivasan 0004 — University of California, Santa Cruz, CA, USA
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Conference and Workshop Papers
- 2018
[c5]Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling:
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. NeurIPS 2018: 3426-3439- 2017
- [c4]Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell:
Neural Episodic Control. ICML 2017: 2827-2836 - 2016
- [c3]Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Rémi Munos:
Unifying Count-Based Exploration and Intrinsic Motivation. NIPS 2016: 1471-1479 - 2015
- [c2]Marlos C. Machado, Sriram Srinivasan, Michael H. Bowling:
Domain-Independent Optimistic Initialization for Reinforcement Learning. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c1]Sriram Srinivasan, Erik Talvitie, Michael H. Bowling:
Improving Exploration in UCT Using Local Manifolds. AAAI 2015: 3386-3392
Informal and Other Publications
- 2019
- [i6]Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis:
OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR abs/1908.09453 (2019) - 2018
- [i5]Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling:
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. CoRR abs/1810.09026 (2018) - 2017
- [i4]Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell:
Neural Episodic Control. CoRR abs/1703.01988 (2017) - [i3]Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess:
Learning human behaviors from motion capture by adversarial imitation. CoRR abs/1707.02201 (2017) - 2016
- [i2]Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Rémi Munos:
Unifying Count-Based Exploration and Intrinsic Motivation. CoRR abs/1606.01868 (2016) - 2014
- [i1]Marlos C. Machado, Sriram Srinivasan, Michael Bowling:
Domain-Independent Optimistic Initialization for Reinforcement Learning. CoRR abs/1410.4604 (2014)
Coauthor Index
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