Shuang Ao, Tianyi Zhou, Jing Jiang 0002, Guodong Long, Xuan Song, Chengqi Zhang. EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 822-843, PMLR, 2022. [doi]
Abstract is missing.