Shagun Sodhani | DeepAI

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∙ 05/23/2023

Sequence Modeling is a Robust Contender for Offline Reinforcement Learning

Offline reinforcement learning (RL) allows agents to learn effective, re...

0 Prajjwal Bhargava, et al. ∙

∙ 07/21/2022

The Neural Race Reduction: Dynamics of Abstraction in Gated Networks

Our theoretical understanding of deep learning has not kept pace with it...

0 Andrew M. Saxe, et al. ∙

∙ 07/10/2022

An Introduction to Lifelong Supervised Learning

This primer is an attempt to provide a detailed summary of the different...

21 Shagun Sodhani, et al. ∙

∙ 02/14/2022

Robust Policy Learning over Multiple Uncertainty Sets

Reinforcement learning (RL) agents need to be robust to variations in sa...

2 Annie Xie, et al. ∙

∙ 10/13/2021

Block Contextual MDPs for Continual Learning

In reinforcement learning (RL), when defining a Markov Decision Process ...

8 Shagun Sodhani, et al. ∙

∙ 02/11/2021

Multi-Task Reinforcement Learning with Context-based Representations

The benefit of multi-task learning over single-task learning relies on t...

18 Shagun Sodhani, et al. ∙

∙ 12/23/2020

IIRC: Incremental Implicitly-Refined Classification

We introduce the "Incremental Implicitly-Refined Classi-fication (IIRC)"...

7 Mohamed Abdelsalam, et al. ∙

∙ 10/06/2020

A Closer Look at Codistillation for Distributed Training

Codistillation has been proposed as a mechanism to share knowledge among...

0 Shagun Sodhani, et al. ∙

∙ 07/21/2020

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

This report documents ideas for improving the field of machine learning,...

44 Shagun Sodhani, et al. ∙

∙ 07/14/2020

Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP

Multi-task reinforcement learning is a rich paradigm where information f...

16 Amy Zhang, et al. ∙

∙ 04/15/2020

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

With the recent wave of progress in artificial intelligence (AI) has com...

0 Miles Brundage, et al. ∙

∙ 03/14/2020

Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...

9 Koustuv Sinha, et al. ∙

∙ 03/12/2020

Invariant Causal Prediction for Block MDPs

Generalization across environments is critical to the successful applica...

2 Amy Zhang, et al. ∙

∙ 09/24/2019

Recurrent Independent Mechanisms

Learning modular structures which reflect the dynamics of the environmen...

35 Anirudh Goyal, et al. ∙

∙ 08/16/2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...

1 Koustuv Sinha, et al. ∙

∙ 06/25/2019

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Reinforcement learning agents that operate in diverse and complex enviro...

4 Anirudh Goyal, et al. ∙

∙ 06/11/2019

Learning Powerful Policies by Using Consistent Dynamics Model

Model-based Reinforcement Learning approaches have the promise of being ...

10 Shagun Sodhani, et al. ∙

∙ 11/26/2018

Environments for Lifelong Reinforcement Learning

To achieve general artificial intelligence, reinforcement learning (RL) ...

0 Khimya Khetarpal, et al. ∙

∙ 11/16/2018

On Training Recurrent Neural Networks for Lifelong Learning

Capacity saturation and catastrophic forgetting are the central challeng...

0 Shagun Sodhani, et al. ∙

∙ 11/07/2018

Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...

0 Koustuv Sinha, et al. ∙

∙ 10/21/2018

Spatial Co-location Pattern Mining - A new perspective using Graph Database

Spatial co-location pattern mining refers to the task of discovering the...

0 Sanket Vaibhav Mehta, et al. ∙

∙ 05/28/2018

Memory Augmented Self-Play

Self-play is an unsupervised training procedure which enables the reinfo...

0 Shagun Sodhani, et al. ∙

∙ 05/21/2018

Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"

This is the reproducibility report for the paper "Learning To Count Obje...

0 Shagun Sodhani, et al. ∙

∙ 09/24/2017

Survey of Recent Advances in Visual Question Answering

Visual Question Answering (VQA) presents a unique challenge as it requir...

0 Supriya Pandhre, et al. ∙

∙ 09/17/2017

Reinforcement Learning Based Conversational Search Assistant

In this work, we develop an end-to-end Reinforcement Learning based arch...

0 Milan Aggarwal, et al. ∙

∙ 12/13/2015

Stack Exchange Tagger

The goal of our project is to develop an accurate tagger for questions p...

0 Sanket Mehta, et al. ∙

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