Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

26 September 2023

Papers citing "Recurrent Hypernetworks are Surprisingly Strong in Meta-RL"

9 / 9 papers shown

Title
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments Chenyang Qi Huiping Li Panfeng Huang OffRL 33 0 0 13 Jan 2025
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous Qinxun Bai Fuxin Li BDL 21 0 0 31 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 28 0 0 10 Oct 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 105 4 0 13 Jun 2024
SplAgger: Split Aggregation for Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Zheng Xiong Shimon Whiteson OffRL 19 2 0 05 Mar 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang Guy Tennenholtz Chih-Wei Hsu Yinlam Chow Erdem Biyik Craig Boutilier OffRL 38 1 0 25 Feb 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control Zheng Xiong Risto Vuorio Jacob Beck Matthieu Zimmer Kun Shao Shimon Whiteson 27 1 0 09 Feb 2024
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017