Marlos C. Machado

Dr. Marlos C. Machado is a research scientist at DeepMind and an adjunct professor at the University of Alberta. He holds a PhD from the University of Alberta and a MSc and BSc from UFMG, in Brazil. Featured References Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning [ video ] Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare Efficient Exploration in Reinforcement Learning through Time-Based Representations Marlos C. Machado A Laplacian Framework for Option Discovery in Reinforcement Learning [ video ] Marlos C. Machado, Marc G. Bellemare, Michael H. Bowling Eigenoption Discovery through the Deep Successor Representation Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell Exploration in Reinforcement Learning with Deep Covering Options Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris Autonomous navigation of stratospheric balloons using reinforcement learning Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda & Ziyu Wang Generalization and Regularization in DQN Jesse Farebrother, Marlos C. Machado, Michael Bowling Additional References Amii AI Seminar Series: Marlos C. Machado - Autonomous navigation of stratospheric balloons using RL State of the Art Control of Atari Games Using Shallow Reinforcement Learning, Liang et al Introspective Agents: Confidence Measures for General Value Functions, Sherstan et al