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Task Aware Dreamer for Task Generalization in Reinforcement Learning

Task Aware Dreamer for Task Generalization in Reinforcement Learning

17 February 2025
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
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Papers citing "Task Aware Dreamer for Task Generalization in Reinforcement Learning"

7 / 7 papers shown
Title
ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
Yitong Luo
Hou Hei Lam
Ziang Chen
Zhenliang Zhang
Xue Feng
59
0
0
06 Mar 2025
ManiBox: Enhancing Spatial Grasping Generalization via Scalable
  Simulation Data Generation
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation
Hengkai Tan
Xuezhou Xu
Chengyang Ying
Xinyi Mao
Songming Liu
Xingxing Zhang
Hang Su
J. Zhu
33
4
0
04 Nov 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
21
4
0
23 May 2024
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
50
8
0
23 Oct 2022
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
267
107
0
13 Jul 2021
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
104
113
0
21 Oct 2020
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
237
11,568
0
09 Mar 2017
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