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

Adrien Ali Taïga 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. 2024 ICML https://proceedings.mlr.press/v235/farebrother24a.html https://openreview.net/forum?id=dVpFKfqF3R conf/icml/2024 db/conf/icml/icml2024.html#FarebrotherOVTC24 13049-13071

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. 2024 abs/2403.03950 CoRR https://doi.org/10.48550/arXiv.2403.03950 db/journals/corr/corr2403.html#abs-2403-03950

Adrien Ali Taïga Rishabh Agarwal Jesse Farebrother Aaron C. Courville Marc G. Bellemare Investigating Multi-task Pretraining and Generalization in Reinforcement Learning. 2023 ICLR https://openreview.net/forum?id=sSt9fROSZRO conf/iclr/2023 db/conf/iclr/iclr2023.html#TaigaAFCB23

Adrien Ali Taïga William Fedus Marlos C. Machado Aaron C. Courville Marc G. Bellemare On Bonus-Based Exploration Methods in the Arcade Learning Environment. 2021 abs/2109.11052 CoRR https://arxiv.org/abs/2109.11052 db/journals/corr/corr2109.html#abs-2109-11052

Adrien Ali Taïga William Fedus Marlos C. Machado Aaron C. Courville Marc G. Bellemare On Bonus Based Exploration Methods In The Arcade Learning Environment. 2020 ICLR https://openreview.net/forum?id=BJewlyStDr conf/iclr/2020 db/conf/iclr/iclr2020.html#TaigaFMCB20

Ahmed Touati Adrien Ali Taïga Marc G. Bellemare Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. 2020 abs/2003.04069 CoRR https://arxiv.org/abs/2003.04069 db/journals/corr/corr2003.html#abs-2003-04069

Robert Dadashi Marc G. Bellemare Adrien Ali Taïga Nicolas Le Roux Dale Schuurmans The Value Function Polytope in Reinforcement Learning. 1486-1495 2019 ICML http://proceedings.mlr.press/v97/dadashi19a.html conf/icml/2019 db/conf/icml/icml2019.html#DadashiBTRS19 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. 4360-4371 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/3cf2559725a9fdfa602ec8c887440f32-Abstract.html http://papers.nips.cc/paper/8687-a-geometric-perspective-on-optimal-representations-for-reinforcement-learning conf/nips/2019 db/conf/nips/nips2019.html#BellemareDDTCRS19

Robert Dadashi Adrien Ali Taïga Nicolas Le Roux Dale Schuurmans Marc G. Bellemare The Value Function Polytope in Reinforcement Learning. 2019 abs/1901.11524 CoRR http://arxiv.org/abs/1901.11524 db/journals/corr/corr1901.html#abs-1901-11524

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. 2019 abs/1901.11530 CoRR http://arxiv.org/abs/1901.11530 db/journals/corr/corr1901.html#abs-1901-11530

Adrien Ali Taïga William Fedus Marlos C. Machado Aaron C. Courville Marc G. Bellemare Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment. 2019 abs/1908.02388 CoRR http://arxiv.org/abs/1908.02388 db/journals/corr/corr1908.html#abs-1908-02388

Florian Golemo Adrien Ali Taïga Aaron C. Courville Pierre-Yves Oudeyer Sim-to-Real Transfer with Neural-Augmented Robot Simulation. 817-828 2018 CoRL http://proceedings.mlr.press/v87/golemo18a.html conf/corl/2018 db/conf/corl/corl2018.html#GolemoTCO18

Adrien Ali Taïga Aaron C. Courville Marc G. Bellemare Approximate Exploration through State Abstraction. 2018 abs/1808.09819 CoRR http://arxiv.org/abs/1808.09819 db/journals/corr/corr1808.html#abs-1808-09819

Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vázquez 0001 Aaron C. Courville PixelVAE: A Latent Variable Model for Natural Images. 2017 ICLR (Poster) https://openreview.net/forum?id=BJKYvt5lg conf/iclr/2017 db/conf/iclr/iclr2017.html#GulrajaniKATVVC17

Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vázquez 0001 Aaron C. Courville PixelVAE: A Latent Variable Model for Natural Images. 2016 abs/1611.05013 CoRR http://arxiv.org/abs/1611.05013 db/journals/corr/corr1611.html#GulrajaniKATVVC16

Rishabh Agarwal Faruk Ahmed Marc G. Bellemare Pablo Samuel Castro Yevgen Chebotar Aaron C. Courville Will Dabney Robert Dadashi Jesse Farebrother Aleksandra Faust William Fedus Florian Golemo Ishaan Gulrajani Alex Irpan Aviral Kumar Kundan Kumar Tor Lattimore Sergey Levine Clare Lyle Marlos C. Machado Jordi Orbay Pierre-Yves Oudeyer Nicolas Le Roux Dale Schuurmans Ahmed Touati David Vázquez 0001 Francesco Visin Quan Vuong Ted Xiao