Seguir
Marlos C. Machado
Marlos C. Machado
University of Alberta; Amii
Dirección de correo verificada de ualberta.ca - Página principal
Título
Citado por
Citado por
Año
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
6912018
Autonomous Navigation of Stratospheric Balloons using Reinforcement Learning
[Alphabetical], MG Bellemare, S Candido, PS Castro, J Gong, ...
Nature 588 (7836), 77-82, 2020
439*2020
A Laplacian Framework for Option Discovery in Reinforcement Learning
MC Machado, MG Bellemare, M Bowling
International Conference on Machine Learning (ICML), 2017
3292017
Count-based Exploration with the Successor Representation
MC Machado, MG Bellemare, M Bowling
AAAI Conference on Artificial Intelligence (AAAI), 2020
2432020
Generalization and Regularization in DQN
J Farebrother, MC Machado, M Bowling
NeurIPS Workshop on Deep Reinforcement Learning, 2018
2272018
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
R Agarwal, MC Machado, PS Castro, MG Bellemare
International Conference on Learning Representations (ICLR), 2021
2182021
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
1872018
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
1462016
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
1252016
Loss of Plasticity in Continual Deep Reinforcement Learning
Z Abbas, R Zhao, J Modayil, A White, MC Machado
Conference on Lifelong Learning Agents (CoLLAs), 2023
892023
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
862020
Temporal Abstraction in Reinforcement Learning with the Successor Representation
MC Machado, A Barreto, D Precup, M Bowling
Journal of Machine Learning Research (JMLR) 24 (80), 1-69, 2023
622023
Exploration in Reinforcement Learning with Deep Covering Options
Y Jinnai, JW Park, MC Machado, G Konidaris
International Conference on Learning Representations (ICLR), 2020
612020
Player modeling: Towards a Common Taxonomy
MC Machado, EPC Fantini, L Chaimowicz
International Conference on Computer Games (CGAMES), 2011
592011
Benchmarking Bonus-based Exploration Methods on the Arcade Learning Environment
AA Taiga, W Fedus, MC Machado, A Courville, MG Bellemare
ICML Workshop on Exploration in Reinforcement Learning, 2019
442019
Domain-Independent Optimistic Initialization for Reinforcement Learning
MC Machado, S Srinivasan, M Bowling
AAAI Workshop on Learning for General Competency in Video Games, 2015
332015
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
322021
Learning Purposeful Behaviour in the Absence of Rewards
MC Machado, M Bowling
ICML Workshop on Abstraction in Reinforcement Learning, 2016
292016
Investigating the Properties of Neural Network Representations in Reinforcement Learning
H Wang, E Miahi, M White, MC Machado, Z Abbas, R Kumaraswamy, ...
Artificial Intelligence (AIJ), 2024
282024
An Operator View of Policy Gradient Methods
D Ghosh, M C Machado, N Le Roux
Advances in Neural Information Processing Systems (NeurIPS), 2020
282020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20