基本信息
浏览量:142
职业迁徙
个人简介
I am interested in ways to use reinforcement learning (RL) to train generally capable agents. I believe this will be made possible with an open-ended learning process, where environments constantly propose new challenges [1, 2] and agents adapt their configurations to solve them [3, 4, 5]. To make this process unbounded, I am excited by methods to actively encourage diversity [8, 9], while I believe we can eventually use world models to learn simulators purely from offline data [10, 11].
研究兴趣
论文共 57 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
引用0浏览0EI引用
0
0
Kate Baumli, Satinder Baveja,Feryal Behbahani,Harris Chan, Gheorghe Comanici,Sebastian Flennerhag,Maxime Gazeau, Kristian Holsheimer,Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom,
CoRR (2023)
引用0浏览0EI引用
0
0
Adaptive Agent Team,Jakob Bauer,Kate Baumli, Satinder Baveja,Feryal Behbahani,Avishkar Bhoopchand,Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay,Adrian Collister,Vibhavari Dasagi,Lucy Gonzalez,
arxiv(2023)
引用11浏览0EI引用
11
0
arXiv (Cornell University) (2023)
引用14浏览0EI引用
14
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn