摘要：FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies CORL 2025 project Object-Centric Latent Action Lea 阅读全文

摘要：XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning key word: ICRL ICLR2025 dunnolab work 必要性：ICRL需要数量足够大且具有一定复杂性的训练数据， 阅读全文

摘要：** ODT工作** Online Decision Transformer 来源ICML2022 oral arxiv Fully Online Decision Transformer for Reinforcement Learning 来源：umich pdf tlnr: 讲DT改为基于re 阅读全文

摘要：待读论文不能超过2篇 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables 来源：师弟推荐(ICML2019) bair blog Openreview keynotes：1、meta 阅读全文

摘要：Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017) arxiv:https://arxiv.org/abs/1703.03400 来源：MoonOut 作者:Chelsea Finn, Pieter Abb 阅读全文