research
∙
02/04/2021
Alchemy: A structured task distribution for meta-reinforcement learning
There has been rapidly growing interest in meta-learning as a method for...
share
research
∙
09/27/2019
Automated curricula through setter-solver interactions
Reinforcement learning algorithms use correlations between policies and ...
research
∙
02/08/2018
Learning and Querying Fast Generative Models for Reinforcement Learning
A key challenge in model-based reinforcement learning (RL) is to synthes...
research
∙
07/19/2017
Imagination-Augmented Agents for Deep Reinforcement Learning
We introduce Imagination-Augmented Agents (I2As), a novel architecture f...
research
∙
12/20/2013
