research
∙
08/25/2021
ETA Prediction with Graph Neural Networks in Google Maps
Travel-time prediction constitutes a task of high importance in transpor...
share
research
∙
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...
research
∙
06/18/2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification
We provide a framework for incorporating robustness -- to perturbations ...
research
∙
04/29/2019
Challenges of Real-World Reinforcement Learning
Reinforcement learning (RL) has proven its worth in a series of artifici...
research
∙
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...
research
∙
05/29/2018
Observe and Look Further: Achieving Consistent Performance on Atari
Despite significant advances in the field of deep Reinforcement Learning...
research
∙
01/26/2018
Safe Exploration in Continuous Action Spaces
We address the problem of deploying a reinforcement learning (RL) agent ...
research
∙
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 ...
research
∙
04/12/2017
Deep Q-learning from Demonstrations
Deep reinforcement learning (RL) has achieved several high profile succe...
research
∙
12/30/2016
Adaptive Lambda Least-Squares Temporal Difference Learning
Temporal Difference learning or TD(λ) is a fundamental algorithm in the ...
research
∙
05/09/2011
