Josiah P. Hanna | DeepAI

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∙ 06/02/2023

Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning

While deep reinforcement learning (RL) algorithms have been successfully...

0 Brahma S. Pavse, et al. ∙

∙ 05/23/2023

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

Reinforcement Learning (RL) environments can produce training data with ...

0 Mhairi Dunion, et al. ∙

∙ 12/14/2022

Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction

We consider the problem of off-policy evaluation (OPE) in reinforcement ...

0 Brahma S. Pavse, et al. ∙

∙ 09/20/2022

A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret

In various control task domains, existing controllers provide a baseline...

6 Sheelabhadra Dey, et al. ∙

∙ 05/28/2022

Multi-agent Databases via Independent Learning

Machine learning is rapidly being used in database research to improve t...

0 Chi Zhang, et al. ∙

∙ 03/09/2022

ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling

This paper studies the problem of data collection for policy evaluation ...

0 Subhojyoti Mukherjee, et al. ∙

∙ 11/29/2021

Robust On-Policy Data Collection for Data-Efficient Policy Evaluation

This paper considers how to complement offline reinforcement learning (R...

0 Rujie Zhong, et al. ∙

∙ 08/05/2021

Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles

Recognising the goals or intentions of observed vehicles is a key step t...

0 Josiah P. Hanna, et al. ∙

∙ 08/04/2020

Stochastic Grounded Action Transformation for Robot Learning in Simulation

Robot control policies learned in simulation do not often transfer well ...

0 Siddharth Desai, et al. ∙

∙ 08/04/2020

Reinforced Grounded Action Transformation for Sim-to-Real Transfer

Robots can learn to do complex tasks in simulation, but often, learned b...

0 Haresh Karnan, et al. ∙

∙ 07/18/2020

Quantum-Secure Authentication via Abstract Multi-Agent Interaction

Current methods for authentication based on public-key cryptography are ...

0 Ibrahim Ahmed, et al. ∙

∙ 06/18/2019

RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration

Imitation learning has long been an approach to alleviate the tractabili...

3 Brahma S. Pavse, et al. ∙

∙ 06/12/2017

Data-Efficient Policy Evaluation Through Behavior Policy Search

We consider the task of evaluating a policy for a Markov decision proces...

0 Josiah P. Hanna, et al. ∙

∙ 06/20/2016

Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation

For an autonomous agent, executing a poor policy may be costly or even d...

0 Josiah P. Hanna, et al. ∙

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