Marlos C. Machado
Marlos C. Machado
DeepMind, Amii, and University of Alberta
Потвърден имейл адрес: google.com - Начална страница
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ...
Journal of Artificial Intelligence Research (JAIR) 61, 523-562, 2018
A Laplacian Framework for Option Discovery in Reinforcement Learning
MC Machado, MG Bellemare, M Bowling
International Conference on Machine Learning (ICML), 2017
Autonomous Navigation of Stratospheric Balloons using Reinforcement Learning
MG Bellemare, S Candido, PS Castro, J Gong, MC Machado, S Moitra, ...
Nature 588 (7836), 77-82, 2020
Count-based Exploration with the Successor Representation
MC Machado, MG Bellemare, M Bowling
AAAI Conference on Artificial Intelligence (AAAI), 2020
Generalization and Regularization in DQN
J Farebrother, MC Machado, M Bowling
NeurIPS Workshop on Deep Reinforcement Learning, 2018
State of the Art Control of Atari Games using Shallow Reinforcement Learning
Y Liang, MC Machado, E Talvitie, M Bowling
International Conference on Autonomous Agents & Multiagent Systems (AAMAS), 2016
Eigenoption Discovery through the Deep Successor Representation
MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell
International Conference on Learning Representations (ICLR), 2018
True Online Temporal-Difference Learning
H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton
Journal of Machine Learning Research (JMLR) 17 (1), 5057-5096, 2016
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
International Conference on Learning Representations (ICLR), 2021
On Bonus Based Exploration Methods In The Arcade Learning Environment
AA Taiga, W Fedus, MC Machado, A Courville, MG Bellemare
International Conference on Learning Representations (ICLR), 2020
Player modeling: Towards a Common Taxonomy
MC Machado, EPC Fantini, L Chaimowicz
International Conference on Computer Games (CGAMES), 2011
Exploration in Reinforcement Learning with Deep Covering Options
Y Jinnai, JW Park, MC Machado, G Konidaris
International Conference on Learning Representations (ICLR), 2020
Learning Purposeful Behaviour in the Absence of Rewards
MC Machado, M Bowling
ICML Workshop on Abstraction in Reinforcement Learning, 2016
Domain-Independent Optimistic Initialization for Reinforcement Learning
MC Machado, S Srinivasan, M Bowling
AAAI Workshop on Learning for General Competency in Video Games, 2015
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
W Chung, V Thomas, MC Machado, N Le Roux
International Conference on Machine Learning (ICML), 2021
An Operator View of Policy Gradient Methods
D Ghosh, M C Machado, N Le Roux
Advances in Neural Information Processing Systems (NeurIPS), 2020
The Eigenoption-Critic Framework
M Liu, MC Machado, G Tesauro, M Campbell
NeurIPS Workshop on Hierarchical Reinforcement Learning, 2017
Introspective Agents: Confidence Measures for General Value Functions
C Sherstan, A White, MC Machado, PM Pilarski
International Conference on Artificial General Intelligence (AGI), 258-261, 2016
A Binary Classification Approach for Automatic Preference Modeling of Virtual Agents in Civilization IV
MC Machado, GL Pappa, L Chaimowicz
IEEE Conference on Computational Intelligence and Games (CIG), 2012
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation
C Sherstan, MC Machado, PM Pilarski
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
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