Adrien Ali Taïga

According to our database, Adrien Ali Taïga authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Investigating Multi-task Pretraining and Generalization in Reinforcement Learning.

Adrien Ali Taïga, Rishabh Agarwal, Jesse Farebrother, Aaron C. Courville, Marc G. Bellemare

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces.

Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare

CoRR, 2020

On Bonus Based Exploration Methods In The Arcade Learning Environment.

Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment.

Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare

CoRR, 2019

A Geometric Perspective on Optimal Representations for Reinforcement Learning.

Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The Value Function Polytope in Reinforcement Learning.

Robert Dadashi, Marc G. Bellemare, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Approximate Exploration through State Abstraction.

Adrien Ali Taïga, Aaron C. Courville, Marc G. Bellemare

CoRR, 2018

Sim-to-Real Transfer with Neural-Augmented Robot Simulation.

Florian Golemo, Adrien Ali Taïga, Aaron C. Courville, Pierre-Yves Oudeyer

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

PixelVAE: A Latent Variable Model for Natural Images.

Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville

Proceedings of the 5th International Conference on Learning Representations, 2017