research
∙
06/23/2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Pretraining on noisy, internet-scale datasets has been heavily studied a...
share
research
∙
06/28/2021
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
An important challenge in reinforcement learning is training agents that...
research
∙
04/27/2020
First return then explore
The promise of reinforcement learning is to solve complex sequential dec...
research
∙
03/03/2020
Scaling MAP-Elites to Deep Neuroevolution
Quality-Diversity (QD) algorithms, and MAP-Elites (ME) in particular, ha...
research
∙
01/24/2020
Exploration Based Language Learning for Text-Based Games
This work presents an exploration and imitation-learning-based agent cap...
research
∙
02/12/2019
Guiding Neuroevolution with Structural Objectives
The structure and performance of neural networks are intimately connecte...
research
∙
01/30/2019
Go-Explore: a New Approach for Hard-Exploration Problems
A grand challenge in reinforcement learning is intelligent exploration, ...
research
∙
07/09/2018
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm
An important challenge in reinforcement learning, including evolutionary...
research
∙
04/17/2017
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System
Natural evolution has produced a tremendous diversity of functional orga...
research
∙
05/23/2015