Homanga Bharadhwaj

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UNIVERSITY OF TORONTO ∙ Indian Institute of Technology Kanpur

Skill Transfer via Partially Amortized Hierarchical Planning

To quickly solve new tasks in complex environments, intelligent agents n...
11/27/2020 ∙ by Kevin Xie, et al. ∙ 0 ∙ share

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Conservative Safety Critics for Exploration

Safe exploration presents a major challenge in reinforcement learning (R...
10/27/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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D2RL: Deep Dense Architectures in Reinforcement Learning

While improvements in deep learning architectures have played a crucial ...
10/19/2020 ∙ by Samarth Sinha, et al. ∙ 0 ∙ share

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Continual Model-Based Reinforcement Learning with Hypernetworks

Effective planning in model-based reinforcement learning (MBRL) and mode...
09/25/2020 ∙ by Yizhou Huang, et al. ∙ 0 ∙ share

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A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification

Clustering techniques have been proved highly suc-cessful for Takagi-Sug...
09/02/2020 ∙ by Vikas Singh, et al. ∙ 9 ∙ share

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De-anonymization of authors through arXiv submissions during double-blind review

In this paper, we investigate the effects of releasing arXiv preprints o...
07/01/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Generalized Adversarially Learned Inference

Allowing effective inference of latent vectors while training GANs can g...
06/15/2020 ∙ by Yatin Dandi, et al. ∙ 0 ∙ share

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LEAF: Latent Exploration Along the Frontier

Self-supervised goal proposal and reaching is a key component for explor...
05/21/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

Self-supervised goal proposal and reaching is a key component of efficie...
05/21/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

Visual Similarity plays an important role in many computer vision applic...
04/28/2020 ∙ by Timo Milbich, et al. ∙ 3 ∙ share

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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Visual Similarity plays an important role in many computer vision applic...
04/28/2020 ∙ by Timo Milbich, et al. ∙ 0 ∙ share

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Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Recent works in high-dimensional model-predictive control and model-base...
04/19/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Although deep learning models have achieved state-of-the-art performance...
03/10/2020 ∙ by Samarth Sinha, et al. ∙ 7 ∙ share

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MANGA: Method Agnostic Neural-policy Generalization and Adaptation

In this paper we target the problem of transferring policies across mult...
11/19/2019 ∙ by Homanga Bharadhwaj, et al. ∙ 23 ∙ share

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A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation

In this paper, we present a domain adaptation based generative framework...
06/07/2019 ∙ by Varun Khare, et al. ∙ 0 ∙ share

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New tab page recommendations cause a strong suppression of exploratory web browsing behaviors

Through a combination of experimental and simulation results, we illustr...
12/16/2018 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Learning effective visuomotor policies for robots purely from data is ch...
10/11/2018 ∙ by Homanga Bharadhwaj, et al. ∙ 8 ∙ share

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Explanations for Temporal Recommendations

Recommendation systems are an integral part of Artificial Intelligence (...
07/17/2018 ∙ by Homanga Bharadhwaj, et al. ∙ 1 ∙ share

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Layer-wise Relevance Propagation for Explainable Recommendations

In this paper, we tackle the problem of explanations in a deep-learning ...
07/17/2018 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Homanga Bharadhwaj

Featured Co-authors

Yoshua Bengio

Sergey Levine

Hugo Larochelle

Animesh Garg

Abhishek Kumar

Joseph Paul Cohen

Anirudh Goyal

Vikas Singh

Piyush Rai

Björn Ommer

Danijar Hafner

Skill Transfer via Partially Amortized Hierarchical Planning

Conservative Safety Critics for Exploration

D2RL: Deep Dense Architectures in Reinforcement Learning

Continual Model-Based Reinforcement Learning with Hypernetworks

A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification

De-anonymization of authors through arXiv submissions during double-blind review

Generalized Adversarially Learned Inference

LEAF: Latent Exploration Along the Frontier

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Explanations for Temporal Recommendations

Layer-wise Relevance Propagation for Explainable Recommendations