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Anand, Ankesh
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1

To Assess the Knowledge and Determinants Associated with Bl..:

Yadav, Binod Kumar ; Chaudhary, Khusboo ; Patel, Amit Kumar...
Med Phoenix.  8 (2023)  2 - p. 56-60 , 2023
Link: https://doi.org/10.3126/..
 
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2

To Assess the Knowledge and Determinants Associated with Bl..:

Yadav, Binod Kumar ; Chaudhary, Khusboo ; Patel, Amit Kumar...
https://www.nepjol.info/index.php/medphoenix/article/view/60972/46581.  , 2023
Link: https://www.nepjol.info/..
 
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3

Beyond Human Data: Scaling Self-Training for Problem-Solvin..:

Singh, Avi ; Co-Reyes, John D ; Agarwal, Rishabh...
http://arxiv.org/abs/2312.06585.  , 2023
Link: http://arxiv.org/abs/231..
 
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4

Investigating the role of model-based learning in explorati..:

Walker, Jacob ; Vértes, Eszter ; Li, Yazhe...
http://arxiv.org/abs/2302.04009.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Allocation of DG in Distribution Network Using Parameter In..:

Pandey, Anand Kumar ; Kirmani, Sheeraz ; Kumar, Ankesh.
Journal of Electrical Engineering & Technology.  18 (2022)  3 - p. 1675-1692 , 2022
Link: https://doi.org/10.1007/..
 
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6

Procedural Generalization by Planning with Self-Supervised ..:

Anand, Ankesh ; Walker, Jacob ; Li, Yazhe...
http://arxiv.org/abs/2111.01587.  , 2021
Link: http://arxiv.org/abs/211..
 
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7

Pretraining Representations for Data-Efficient Reinforcemen..:

Schwarzer, Max ; Rajkumar, Nitarshan ; Noukhovitch, Michael...
http://arxiv.org/abs/2106.04799.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Data-Efficient Reinforcement Learning with Self-Predictive ..:

Schwarzer, Max ; Anand, Ankesh ; Goel, Rishab...
http://arxiv.org/abs/2007.05929.  , 2020
Link: http://arxiv.org/abs/200..
 
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9

DG Placements in Distribution Network using Exhaustive Sear..:

, In: 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON),
Kirmani, Sheeraz ; Kumar, Ankesh ; Pandey, Anand Kumar - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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10

Unsupervised State Representation Learning in Atari:

Anand, Ankesh ; Racah, Evan ; Ozair, Sherjil...
http://arxiv.org/abs/1906.08226.  , 2019
Link: http://arxiv.org/abs/190..
 
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11

Blindfold Baselines for Embodied QA:

Anand, Ankesh ; Belilovsky, Eugene ; Kastner, Kyle..
http://arxiv.org/abs/1811.05013.  , 2018
Link: http://arxiv.org/abs/181..
 
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12

ankeshanand/neural-cryptography-tensorflow: Creating an ini..:

Ankesh Anand ; Aly Shmahell
https://github.com/ankeshanand/neural-cryptography-tensorflow/tree/0.1.  , 2018
Link: https://zenodo.org/recor..
 
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13

ankeshanand/neural-cryptography-tensorflow: Tensorflow impl..:

Ankesh Anand ; Aly Shmahell
https://github.com/ankeshanand/neural-cryptography-tensorflow/tree/0.1.1.  , 2018
Link: https://zenodo.org/recor..
 
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14

HoME: a Household Multimodal Environment:

Brodeur, Simon ; Perez, Ethan ; Anand, Ankesh...
http://arxiv.org/abs/1711.11017.  , 2017
Link: http://arxiv.org/abs/171..
 
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15

MMGAN: Manifold Matching Generative Adversarial Network:

Park, Noseong ; Anand, Ankesh ; Moniz, Joel Ruben Antony...
http://arxiv.org/abs/1707.08273.  , 2017
Link: http://arxiv.org/abs/170..
 
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