Search Results for author: John D. Martin

Found 7 papers, 2 papers with code

Settling the Reward Hypothesis

no code implementations20 Dec 2022 Michael Bowling, John D. Martin, David Abel, Will Dabney

The reward hypothesis posits that, "all of what we mean by goals and purposes can be well thought of as maximization of the expected value of the cumulative sum of a received scalar signal (reward)."

Variational Filtering with Copula Models for SLAM

no code implementations2 Aug 2020 John D. Martin, Kevin Doherty, Caralyn Cyr, Brendan Englot, John Leonard

The ability to infer map variables and estimate pose is crucial to the operation of autonomous mobile robots.

Simultaneous Localization and Mapping

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

1 code implementation24 Jul 2020 Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan Englot

We consider an autonomous exploration problem in which a range-sensing mobile robot is tasked with accurately mapping the landmarks in an a priori unknown environment efficiently in real-time; it must choose sensing actions that both curb localization uncertainty and achieve information gain.

Decision Making reinforcement-learning +1

On Catastrophic Interference in Atari 2600 Games

1 code implementation28 Feb 2020 William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle

Our study provides a clear empirical link between catastrophic interference and sample efficiency in reinforcement learning.

Atari Games reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.