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Modeling the Long Term Future in Model-Based Reinforcement Learning.

N. Ke, A. Singh, A. Touati, A. Goyal, Y. Bengio, D. Parikh, and D. Batra. ICLR (Poster), OpenReview.net, (2019)

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Anirudh Ramachandran

Parag Goyal

Ankit Goyal

Ayush Goyal

Rachna Goyal

Other publications of authors with the same name

Learning the Arrow of Time for Problems in Reinforcement Learning.N. Rahaman, S. Wolf, A. Goyal, R. Remme, and Y. Bengio. ICLR, OpenReview.net, (2020)A Meta-Transfer Objective for Learning to Disentangle Causal MechanismsY. Bengio, T. Deleu, N. Rahaman, R. Ke, S. Lachapelle, O. Bilaniuk, A. Goyal, and C. Pal. (2019)cite arxiv:1901.10912.State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.A. Lamb, J. Binas, A. Goyal, S. Subramanian, I. Mitliagkas, D. Kazakov, Y. Bengio, and M. Mozer. CoRR, (2019)Learning Neural Causal Models with Active Interventions.N. Scherrer, O. Bilaniuk, Y. Annadani, A. Goyal, P. Schwab, B. Schölkopf, M. Mozer, Y. Bengio, S. Bauer, and N. Ke. CoRR, (2021)Unlearning via Sparse Representations.V. Shah, F. Träuble, A. Malik, H. Larochelle, M. Mozer, S. Arora, Y. Bengio, and A. Goyal. CoRR, (2023)Accelerating Greedy Coordinate Gradient via Probe Sampling.Y. Zhao, W. Zheng, T. Cai, X. Do, K. Kawaguchi, A. Goyal, and M. Shieh. CoRR, (2024)Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments.A. Goyal, A. Lamb, P. Gampa, P. Beaudoin, C. Blundell, S. Levine, Y. Bengio, and M. Mozer. ICLR, OpenReview.net, (2021)InfoBot: Transfer and Exploration via the Information Bottleneck.A. Goyal, R. Islam, D. Strouse, Z. Ahmed, H. Larochelle, M. Botvinick, Y. Bengio, and S. Levine. ICLR (Poster), OpenReview.net, (2019)Retrieval-Augmented Reinforcement Learning.A. Goyal, A. Friesen, A. Banino, T. Weber, N. Ke, A. Badia, A. Guez, M. Mirza, P. Humphreys, K. Konyushkova and 5 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 7740-7765. PMLR, (2022)Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives.A. Goyal, S. Sodhani, J. Binas, X. Peng, S. Levine, and Y. Bengio. ICLR, OpenReview.net, (2020)

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Disambiguation of "Goyal, Anirudh"

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Modeling the Long Term Future in Model-Based Reinforcement Learning.

Please choose a person to relate this publication to

Anirudh Ramachandran

Parag Goyal

Ankit Goyal

Ayush Goyal

Rachna Goyal

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Goyal, Anirudh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Modeling the Long Term Future in Model-Based Reinforcement Learning.

Please choose a person to relate this publication to

Anirudh Ramachandran

Parag Goyal

Ankit Goyal

Ayush Goyal

Rachna Goyal

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modeling the Long Term Future in Model-Based Reinforcement Learning.