Avi Singh | DeepAI

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∙ 10/05/2022

Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning

We consider how to most efficiently leverage teleoperator time to collec...

8 David Brandfonbrener, et al. ∙

∙ 07/14/2022

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops

Sim-to-real transfer is a powerful paradigm for robotic reinforcement le...

0 Saminda Abeyruwan, et al. ∙

∙ 07/11/2022

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning

Reinforcement learning (RL) algorithms hold the promise of enabling auto...

2 Homer Walke, et al. ∙

∙ 11/19/2020

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning

Reinforcement learning provides a general framework for flexible decisio...

18 Avi Singh, et al. ∙

∙ 10/27/2020

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Reinforcement learning has been applied to a wide variety of robotics pr...

0 Avi Singh, et al. ∙

∙ 04/27/2020

The Ingredients of Real-World Robotic Reinforcement Learning

The success of reinforcement learning for real world robotics has been, ...

14 Henry Zhu, et al. ∙

∙ 02/25/2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement

While robot learning has demonstrated promising results for enabling rob...

0 Avi Singh, et al. ∙

∙ 04/16/2019

End-to-End Robotic Reinforcement Learning without Reward Engineering

The combination of deep neural network models and reinforcement learning...

8 Avi Singh, et al. ∙

∙ 09/30/2018

Few-Shot Goal Inference for Visuomotor Learning and Planning

Reinforcement learning and planning methods require an objective or rewa...

0 Annie Xie, et al. ∙

∙ 05/29/2018

Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition

The design of a reward function often poses a major practical challenge ...

0 Justin Fu, et al. ∙

∙ 11/27/2017

Divide-and-Conquer Reinforcement Learning

Standard model-free deep reinforcement learning (RL) algorithms sample a...

0 Dibya Ghosh, et al. ∙

∙ 08/07/2017

GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images

We tackle the problem of learning robotic sensorimotor control policies ...

0 Avi Singh, et al. ∙

∙ 11/26/2016

Visual Dialog

We introduce the task of Visual Dialog, which requires an AI agent to ho...

0 Abhishek Das, et al. ∙

∙ 01/05/2016

Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture

Advanced Driver Assistance Systems (ADAS) have made driving safer over t...

0 Ashesh Jain, et al. ∙

∙ 09/16/2015

Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture

Anticipating the future actions of a human is a widely studied problem i...

0 Ashesh Jain, et al. ∙