Todd Hester | DeepAI

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∙ 08/25/2021

ETA Prediction with Graph Neural Networks in Google Maps

Travel-time prediction constitutes a task of high importance in transpor...

13 Austin Derrow-Pinion, et al. ∙

∙ 03/24/2020

An empirical investigation of the challenges of real-world reinforcement learning

Reinforcement learning (RL) has proven its worth in a series of artifici...

9 Gabriel Dulac-Arnold, et al. ∙

∙ 06/18/2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification

We provide a framework for incorporating robustness -- to perturbations ...

0 Daniel J. Mankowitz, et al. ∙

∙ 04/29/2019

Challenges of Real-World Reinforcement Learning

Reinforcement learning (RL) has proven its worth in a series of artifici...

0 Gabriel Dulac-Arnold, et al. ∙

∙ 10/02/2018

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

Insertion is a challenging haptic and visual control problem with signif...

0 Mel Večerík, et al. ∙

∙ 05/29/2018

Observe and Look Further: Achieving Consistent Performance on Atari

Despite significant advances in the field of deep Reinforcement Learning...

0 Tobias Pohlen, et al. ∙

∙ 01/26/2018

Safe Exploration in Continuous Action Spaces

We address the problem of deploying a reinforcement learning (RL) agent ...

0 Gal Dalal, et al. ∙

∙ 07/27/2017

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

We propose a general and model-free approach for Reinforcement Learning ...

0 Matej Večerík, et al. ∙

∙ 04/12/2017

Deep Q-learning from Demonstrations

Deep reinforcement learning (RL) has achieved several high profile succe...

0 Todd Hester, et al. ∙

∙ 12/30/2016

Adaptive Lambda Least-Squares Temporal Difference Learning

Temporal Difference learning or TD(λ) is a fundamental algorithm in the ...

0 Timothy A. Mann, et al. ∙

∙ 05/09/2011

A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control

Reinforcement Learning (RL) is a method for learning decision-making tas...

0 Todd Hester, et al. ∙

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