research
∙
03/13/2023
Vision-Language Models as Success Detectors
Detecting successful behaviour is crucial for training intelligent agent...
share
research
∙
04/29/2022
Flamingo: a Visual Language Model for Few-Shot Learning
Building models that can be rapidly adapted to numerous tasks using only...
research
∙
06/25/2021
Multimodal Few-Shot Learning with Frozen Language Models
When trained at sufficient scale, auto-regressive language models exhibi...
research
∙
12/12/2020
Semi-supervised reward learning for offline reinforcement learning
In offline reinforcement learning (RL) agents are trained using a logged...
research
∙
06/01/2020
Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recent-and groundbreaking-ad...
research
∙
10/02/2019
Task-Relevant Adversarial Imitation Learning
We show that a critical problem in adversarial imitation from high-dimen...
research
∙
09/26/2019
A Framework for Data-Driven Robotics
We present a framework for data-driven robotics that makes use of a larg...
research
∙
10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
research
∙
04/17/2018
Learning Awareness Models
We consider the setting of an agent with a fixed body interacting with a...
research
∙
02/26/2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
We propose a model-free deep reinforcement learning method that leverage...
research
∙
07/11/2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
This paper introduces the Intentional Unintentional (IU) agent. This age...
research
∙
06/20/2017
