A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning

11 July 2019

Papers citing "A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning"

7 / 7 papers shown

Title
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 89 2 0 07 Jun 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 520 11,727 0 09 Mar 2017