Adrien Ali Taïga

15 papers A* 5Misc 1Journal 8Unranked 1

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