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07/22/2023
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft
In machine learning for sequential decision-making, an algorithmic agent...
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06/29/2023
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios
The development of plans of action in disaster response scenarios is a t...
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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...
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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...
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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...
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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...
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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...
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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...
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02/25/2021
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations
In the field of human-robot interaction, teaching learning agents from h...
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08/30/2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Recent successes combine reinforcement learning algorithms and deep neur...
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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...
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11/01/2019
PODNet: A Neural Network for Discovery of Plannable Options
Learning from demonstration has been widely studied in machine learning ...
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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...
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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...
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08/28/2018