ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.06527
  4. Cited By
Meta Reinforcement Learning with Task Embedding and Shared Policy

Meta Reinforcement Learning with Task Embedding and Shared Policy

16 May 2019
Lin Lan
Zhenguo Li
X. Guan
Peijie Wang
    OffRL
ArXivPDFHTML

Papers citing "Meta Reinforcement Learning with Task Embedding and Shared Policy"

14 / 14 papers shown
Title
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
Chenyang Qi
Huiping Li
Panfeng Huang
OffRL
46
0
0
13 Jan 2025
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
42
124
0
19 Jan 2023
Leveraging Language for Accelerated Learning of Tool Manipulation
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
LM&Ro
31
37
0
27 Jun 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via
  Descriptive Policy
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
Hyunsung Lee
19
1
0
18 Jan 2022
Neural Stochastic Dual Dynamic Programming
Neural Stochastic Dual Dynamic Programming
H. Dai
Yuan Xue
Zia Syed
Dale Schuurmans
Bo Dai
24
14
0
01 Dec 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Riccardo Poiani
Andrea Tirinzoni
Marcello Restelli
OffRL
24
10
0
18 May 2021
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas Griffiths
24
4
0
27 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
29
16
0
03 Nov 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
Model-based Adversarial Meta-Reinforcement Learning
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin
G. Thomas
Guangwen Yang
Tengyu Ma
OOD
27
52
0
16 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model
  Identification and Experience Relabeling
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OOD
OffRL
32
41
0
12 Jun 2020
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
16
273
0
18 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
490
11,727
0
09 Mar 2017
1