Ankesh Anand | DeepAI

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∙ 02/08/2023

Investigating the role of model-based learning in exploration and transfer

State of the art reinforcement learning has enabled training agents on t...

0 Jacob Walker, et al. ∙

∙ 11/02/2021

Procedural Generalization by Planning with Self-Supervised World Models

One of the key promises of model-based reinforcement learning is the abi...

4 Ankesh Anand, et al. ∙

∙ 06/09/2021

Pretraining Representations for Data-Efficient Reinforcement Learning

Data efficiency is a key challenge for deep reinforcement learning. We a...

0 Max Schwarzer, et al. ∙

∙ 07/12/2020

Data-Efficient Reinforcement Learning with Momentum Predictive Representations

While deep reinforcement learning excels at solving tasks where large am...

0 Max Schwarzer, et al. ∙

∙ 06/19/2019

Unsupervised State Representation Learning in Atari

State representation learning, or the ability to capture latent generati...

5 Ankesh Anand, et al. ∙

∙ 11/12/2018

Blindfold Baselines for Embodied QA

We explore blindfold (question-only) baselines for Embodied Question Ans...

6 Ankesh Anand, et al. ∙

∙ 11/29/2017

HoME: a Household Multimodal Environment

We introduce HoME: a Household Multimodal Environment for artificial age...

0 Simon Brodeur, et al. ∙

∙ 12/05/2016

We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!

Online content publishers often use catchy headlines for their articles ...

0 Ankesh Anand, et al. ∙

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