Seguir
Adrien Ali Taïga
Adrien Ali Taïga
Dirección de correo verificada de umontreal.ca
Título
Citado por
Citado por
Año
Pixelvae: A latent variable model for natural images
I Gulrajani, K Kumar, F Ahmed, A Ali Taiga, F Visin, D Vazquez, ...
arXiv preprint arXiv:1611.05013, 2016
3372016
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
F Golemo, A Ali Taiga, PY Oudeyer, A Courville
Conference on Robot Learning, 817-828, 2018
852018
A Geometric Perspective on Optimal Representations for Reinforcement Learning
MG Bellemare, W Dabney, R Dadashi, A Ali Taiga, PS Castro, NL Roux, ...
arXiv preprint arXiv:1901.11530, 2019
742019
On Bonus Based Exploration Methods In The Arcade Learning Environment
A Ali Taiga, W Fedus, MC Machado, A Courville, MG Bellemare
International Conference on Learning Representations, 2020
48*2020
The Value Function Polytope in Reinforcement Learning
R Dadashi, A Ali Taïga, NL Roux, D Schuurmans, MG Bellemare
arXiv preprint arXiv:1901.11524, 2019
352019
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
A Ali Taïga, W Fedus, MC Machado, A Courville, MG Bellemare
arXiv preprint arXiv:1908.02388, 2019
332019
Approximate Exploration through State Abstraction
A Ali Taïga, A Courville, MG Bellemare
arXiv preprint arXiv:1808.09819, 2018
122018
Zooming for efficient model-free reinforcement learning in metric spaces
A Touati, AA Taiga, MG Bellemare
arXiv preprint arXiv:2003.04069, 2020
112020
Pixelvae: A latent variable model for natural images. arXiv 2016
I Gulrajani, K Kumar, F Ahmed, AA Taiga, F Visin, D Vazquez, A Courville
arXiv preprint arXiv:1611.05013, 0
5
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
AA Taiga, R Agarwal, J Farebrother, A Courville, MG Bellemare
Deep Reinforcement Learning Workshop NeurIPS 2022, 0
1
Introducing Coordination in Concurrent Reinforcement Learning
AA Taiga, A Courville, MG Bellemare
ICLR 2022 Workshop on Gamification and Multiagent Solutions, 0
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–11