Homanga Bharadhwaj | DeepAI

DeepAI

Featured Co-authors

Yoshua Bengio
422 publications
Sergey Levine
349 publications
Ruslan Salakhutdinov
180 publications
Anima Anandkumar
169 publications
Doina Precup
132 publications
Zhaoran Wang
110 publications
Zhuoran Yang
96 publications
Animesh Garg
88 publications
Hugo Larochelle
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Lihong Li
61 publications
Anirudh Goyal
56 publications

∙ 12/29/2022

Offline Policy Optimization in RL with Variance Regularizaton

Learning policies from fixed offline datasets is a key challenge to scal...

Riashat Islam, et al. ∙

∙ 09/18/2022

Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective

While reinforcement learning (RL) methods that learn an internal model o...

Raj Ghugare, et al. ∙

∙ 04/18/2022

INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL

Model-based reinforcement learning (RL) algorithms designed for handling...

Homanga Bharadhwaj, et al. ∙

∙ 10/12/2021

Auditing Robot Learning for Safety and Compliance during Deployment

Robots of the future are going to exhibit increasingly human-like and su...

Homanga Bharadhwaj, et al. ∙

∙ 09/25/2021

Auditing AI models for Verified Deployment under Semantic Specifications

Auditing trained deep learning (DL) models prior to deployment is vital ...

Homanga Bharadhwaj, et al. ∙

∙ 01/18/2021

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos

We present an approach for physical imitation from human videos for robo...

Haoyu Xiong, et al. ∙

∙ 11/27/2020

Skill Transfer via Partially Amortized Hierarchical Planning

To quickly solve new tasks in complex environments, intelligent agents n...

Kevin Xie, et al. ∙

∙ 10/27/2020

Conservative Safety Critics for Exploration

Safe exploration presents a major challenge in reinforcement learning (R...

Homanga Bharadhwaj, et al. ∙

∙ 10/19/2020

D2RL: Deep Dense Architectures in Reinforcement Learning

While improvements in deep learning architectures have played a crucial ...

Samarth Sinha, et al. ∙

∙ 09/25/2020

Continual Model-Based Reinforcement Learning with Hypernetworks

Effective planning in model-based reinforcement learning (MBRL) and mode...

Yizhou Huang, et al. ∙

∙ 09/02/2020

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...

Vikas Singh, et al. ∙

∙ 07/01/2020

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

In this paper, we investigate the effects of releasing arXiv preprints o...

Homanga Bharadhwaj, et al. ∙

∙ 06/15/2020

Generalized Adversarially Learned Inference

Allowing effective inference of latent vectors while training GANs can g...

Yatin Dandi, et al. ∙

∙ 05/21/2020

LEAF: Latent Exploration Along the Frontier

Self-supervised goal proposal and reaching is a key component for explor...

Homanga Bharadhwaj, et al. ∙

∙ 05/21/2020

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

Self-supervised goal proposal and reaching is a key component of efficie...

Homanga Bharadhwaj, et al. ∙

∙ 04/28/2020

DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

Visual Similarity plays an important role in many computer vision applic...

Timo Milbich, et al. ∙

∙ 04/28/2020

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Visual Similarity plays an important role in many computer vision applic...

Timo Milbich, et al. ∙

∙ 04/19/2020

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

Recent works in high-dimensional model-predictive control and model-base...

Homanga Bharadhwaj, et al. ∙

∙ 03/10/2020

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Although deep learning models have achieved state-of-the-art performance...

Samarth Sinha, et al. ∙

∙ 11/19/2019

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

In this paper we target the problem of transferring policies across mult...

Homanga Bharadhwaj, et al. ∙

∙ 06/07/2019

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

In this paper, we present a domain adaptation based generative framework...

Varun Khare, et al. ∙

∙ 12/16/2018

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

Through a combination of experimental and simulation results, we illustr...

Homanga Bharadhwaj, et al. ∙

∙ 10/11/2018

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...

Homanga Bharadhwaj, et al. ∙

∙ 07/17/2018

Explanations for Temporal Recommendations

Recommendation systems are an integral part of Artificial Intelligence (...

Homanga Bharadhwaj, et al. ∙

∙ 07/17/2018

Layer-wise Relevance Propagation for Explainable Recommendations

In this paper, we tackle the problem of explanations in a deep-learning ...

Homanga Bharadhwaj, et al. ∙