Domain-Independent Optimistic Initialization for Reinforcement Learning. - Marlos C. Machado; Sriram Srinivasan 005; Michael H. Bowling (AAAI Workshop: Learning for General Competency in Video Games, 2015)

Improving Exploration in UCT Using Local Manifolds. - Sriram Srinivasan 005; Erik Talvitie; Michael H. Bowling (AAAI, 2015)

Unifying Count-Based Exploration and Intrinsic Motivation. - Marc G. Bellemare; Sriram Srinivasan 005; Georg Ostrovski; Tom Schaul; David Saxton; Rémi Munos (NIPS, 2016)

Neural Episodic Control. - Alexander Pritzel; Benigno Uria; Sriram Srinivasan 005; Adrià Puigdomènech Badia; Oriol Vinyals; Demis Hassabis; Daan Wierstra; Charles Blundell (ICML, 2017)

Learning human behaviors from motion capture by adversarial imitation. - Josh Merel; Yuval Tassa; Dhruva TB; Sriram Srinivasan 005; Jay Lemmon; Ziyu Wang 001; Greg Wayne; Nicolas Heess (CoRR, 2017)

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. - Sriram Srinivasan 005; Marc Lanctot; Vinícius Flores Zambaldi; Julien Pérolat; Karl Tuyls; Rémi Munos; Michael Bowling (NeurIPS, 2018)

OpenSpiel: A Framework for Reinforcement Learning in Games. - Marc Lanctot; Edward Lockhart; Jean-Baptiste Lespiau; Vinícius Flores Zambaldi; Satyaki Upadhyay; Julien Pérolat; Sriram Srinivasan 005; Finbarr Timbers; Karl Tuyls; Shayegan Omidshafiei; Daniel Hennes; Dustin Morrill; et al. (CoRR, 2019)