Vinicius G. Goecks | DeepAI

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∙ 05/01/2023

Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions

This paper describes a methodology for learning flight control systems f...

0 Prashant Ganesh, et al. ∙

∙ 03/23/2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

To facilitate research in the direction of fine-tuning foundation models...

0 Stephanie Milani, et al. ∙

∙ 05/11/2022

Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II

Traditionally, learning from human demonstrations via direct behavior cl...

0 Nicholas Waytowich, et al. ∙

∙ 04/14/2022

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback

We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lif...

0 Rohin Shah, et al. ∙

∙ 12/07/2021

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft

Real-world tasks of interest are generally poorly defined by human-reada...

0 Vinicius G. Goecks, et al. ∙

∙ 10/21/2021

On games and simulators as a platform for development of artificial intelligence for command and control

Games and simulators can be a valuable platform to execute complex multi...

0 Vinicius G. Goecks, et al. ∙

∙ 02/25/2021

Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations

In the field of human-robot interaction, teaching learning agents from h...

0 Ritwik Bera, et al. ∙

∙ 08/30/2020

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems

Recent successes combine reinforcement learning algorithms and deep neur...

0 Vinicius G. Goecks, et al. ∙

∙ 03/27/2020

Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection

Advances in machine learning and deep neural networks for object detecti...

0 Vinicius G. Goecks, et al. ∙

∙ 11/01/2019

PODNet: A Neural Network for Discovery of Plannable Options

Learning from demonstration has been widely studied in machine learning ...

0 Ritwik Bera, et al. ∙

∙ 10/09/2019

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments

This paper investigates how to efficiently transition and update policie...

0 Vinicius G. Goecks, et al. ∙

∙ 10/26/2018

Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time

This paper investigates how to utilize different forms of human interact...

0 Vinicius G. Goecks, et al. ∙

∙ 08/28/2018

Cycle-of-Learning for Autonomous Systems from Human Interaction

We discuss different types of human-robot interaction paradigms in the c...

0 Nicholas R. Waytowich, et al. ∙