AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

6 July 2021

Sara Magliacane

Anton van den Hengel

Papers citing "AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning"

15 / 15 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Zhen Zhang OffRL CML 29 0 0 13 May 2025
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 52 0 0 15 Jul 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning Hyunin Lee Ming Jin Javad Lavaei Somayeh Sojoudi OffRL 37 2 0 25 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 48 11 0 22 Feb 2024
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns Zach Witzel Jubayer Ibn Hamid Tianhe Yu Chelsea Finn Karol Hausman OOD SSL 29 22 0 03 Nov 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 43 1 0 16 Oct 2023
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 26 0 0 28 Oct 2022
Temporally Disentangled Representation Learning Weiran Yao Guangyi Chen Anton van den Hengel CML BDL OOD 32 48 0 24 Oct 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 26 19 0 17 Aug 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Anton van den Hengel Sara Magliacane CML OffRL 42 32 0 30 Mar 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
Domain Adaptation as a Problem of Inference on Graphical Models Anton van den Hengel Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017