research
∙
08/17/2023
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents
Robots have been successfully used to perform tasks with high precision....
share
research
∙
10/16/2022
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Learning to solve long horizon temporally extended tasks with reinforcem...
research
∙
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...
research
∙
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...
research
∙
11/07/2021
Automatic Goal Generation using Dynamical Distance Learning
Reinforcement Learning (RL) agents can learn to solve complex sequential...
research
∙
10/09/2021
Interactive Hierarchical Guidance using Language
Reinforcement learning has been successful in many tasks ranging from ro...
research
∙
11/26/2020
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information
Pulmonary diseases impact millions of lives globally and annually. The r...
research
∙
03/25/2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
In autonomous embedded systems, it is often vital to reduce the amount o...
research
∙
03/22/2019
