PixelVAE: A Latent Variable Model for Natural Images

1 code implementation • 15 Nov 2016 • Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville

Natural image modeling is a landmark challenge of unsupervised learning.

A Geometric Perspective on Optimal Representations for Reinforcement Learning

no code implementations • NeurIPS 2019 • Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taiga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle

We leverage this perspective to provide formal evidence regarding the usefulness of value functions as auxiliary tasks.

reinforcement-learning Reinforcement Learning (RL) +1

On Bonus Based Exploration Methods In The Arcade Learning Environment

no code implementations • ICLR 2020 • Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

Research on exploration in reinforcement learning, as applied to Atari 2600 game-playing, has emphasized tackling difficult exploration problems such as Montezuma's Revenge (Bellemare et al., 2016).

Montezuma's Revenge

Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces

no code implementations • 9 Mar 2020 • Ahmed Touati, Adrien Ali Taiga, Marc G. Bellemare

Despite the wealth of research into provably efficient reinforcement learning algorithms, most works focus on tabular representation and thus struggle to handle exponentially or infinitely large state-action spaces.

reinforcement-learning Reinforcement Learning (RL)