research
∙
09/14/2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
We present a novel approach to address the challenge of generalization i...
share
research
∙
05/18/2023
A Generalist Dynamics Model for Control
We investigate the use of transformer sequence models as dynamics models...
research
∙
04/05/2022
Model Based Meta Learning of Critics for Policy Gradients
Being able to seamlessly generalize across different tasks is fundamenta...
research
∙
07/07/2021
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
Inverse reinforcement learning is a paradigm motivated by the goal of le...
research
∙
11/08/2020
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation
Humans have impressive generalization capabilities when it comes to mani...
research
∙
11/07/2020
Leveraging Forward Model Prediction Error for Learning Control
Learning for model based control can be sample-efficient and generalize ...
research
∙
10/18/2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
research
∙
06/12/2019
Meta-Learning via Learned Loss
We present a meta-learning approach based on learning an adaptive, high-...
research
∙
04/15/2019
