Marlos C. Machado

Marlos C. Machado on Arcade Learning Environment Evaluation, Generalization and Exploration in RL, Eigenoptions, Autonomous navigation of stratospheric balloons with RL, and more!

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



(c) 2019 Robin Ranjit Singh Chauhan