research
∙
07/12/2023
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning
Large language models (LLMs) have demonstrated impressive results in dev...
share
research
∙
04/21/2023
Contrastive Language, Action, and State Pre-training for Robot Learning
In this paper, we introduce a method for unifying language, action, and ...
research
∙
11/04/2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Skill-based reinforcement learning (RL) has emerged as a promising strat...
research
∙
12/10/2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
While deep reinforcement learning (RL) agents have demonstrated incredib...
research
∙
07/21/2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
We present Bayesian Controller Fusion (BCF): a hybrid control strategy t...
research
∙
07/20/2021
Critic Guided Segmentation of Rewarding Objects in First-Person Views
This work discusses a learning approach to mask rewarding objects in ima...
research
∙
03/11/2020
Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments
Learning-based approaches often outperform hand-coded algorithmic soluti...
research
∙
09/24/2019
