research
∙
09/05/2023
Efficient RL via Disentangled Environment and Agent Representations
Agents that are aware of the separation between themselves and their env...
share
research
∙
08/21/2023
Structured World Models from Human Videos
We tackle the problem of learning complex, general behaviors directly in...
research
∙
04/17/2023
Affordances from Human Videos as a Versatile Representation for Robotics
Building a robot that can understand and learn to interact by watching h...
research
∙
02/13/2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
Robotic agents that operate autonomously in the real world need to conti...
research
∙
10/18/2021
Discovering and Achieving Goals via World Models
How can artificial agents learn to solve many diverse tasks in complex v...
research
∙
06/12/2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Reinforcement learning algorithms can acquire policies for complex tasks...
research
∙
04/01/2019
Guided Meta-Policy Search
Reinforcement learning (RL) algorithms have demonstrated promising resul...
research
∙
02/20/2018
