Adrien Ali Taïga

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Top Venues

Publications

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
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. CoRR (2024)
Adrien Ali Taïga, Rishabh Agarwal, Jesse Farebrother, Aaron C. Courville, Marc G. Bellemare
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning. ICLR (2023)
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare
On Bonus-Based Exploration Methods in the Arcade Learning Environment. CoRR (2021)
Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. CoRR (2020)
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare
On Bonus Based Exploration Methods In The Arcade Learning Environment. ICLR (2020)
Robert Dadashi, Marc G. Bellemare, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans
The Value Function Polytope in Reinforcement Learning. ICML (2019)
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment. CoRR (2019)
Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle
A Geometric Perspective on Optimal Representations for Reinforcement Learning. NeurIPS (2019)
Robert Dadashi, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans, Marc G. Bellemare
The Value Function Polytope in Reinforcement Learning. CoRR (2019)
Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle
A Geometric Perspective on Optimal Representations for Reinforcement Learning. CoRR (2019)
Adrien Ali Taïga, Aaron C. Courville, Marc G. Bellemare
Approximate Exploration through State Abstraction. CoRR (2018)
Florian Golemo, Adrien Ali Taïga, Aaron C. Courville, Pierre-Yves Oudeyer
Sim-to-Real Transfer with Neural-Augmented Robot Simulation. CoRL (2018)
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville
PixelVAE: A Latent Variable Model for Natural Images. ICLR (Poster) (2017)
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville
PixelVAE: A Latent Variable Model for Natural Images. CoRR (2016)