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Efficient RL via Disentangled Environment and Agent Representations

Efficient RL via Disentangled Environment and Agent Representations

International Conference on Machine Learning (ICML), 2023
5 September 2023
Kevin Gmelin
Shikhar Bahl
Russell Mendonca
Deepak Pathak
    DRL
ArXiv (abs)PDFHTML

Papers citing "Efficient RL via Disentangled Environment and Agent Representations"

11 / 11 papers shown
Title
CDE: Concept-Driven Exploration for Reinforcement Learning
CDE: Concept-Driven Exploration for Reinforcement Learning
Le Mao
Andrew H. Liu
Renos Zabounidis
Zachary Kingston
Joseph Campbell
73
0
0
09 Oct 2025
A Novel Task-Driven Diffusion-Based Policy with Affordance Learning for Generalizable Manipulation of Articulated Objects
A Novel Task-Driven Diffusion-Based Policy with Affordance Learning for Generalizable Manipulation of Articulated ObjectsIEEE/ASME transactions on mechatronics (TAM), 2025
Hao Zhang
Z. Kan
Weiwei Shang
Yongduan Song
73
0
0
18 Sep 2025
Multimodal Visual Transformer for Sim2real Transfer in Visual Reinforcement Learning
Multimodal Visual Transformer for Sim2real Transfer in Visual Reinforcement Learning
Zichun Xu
Yuntao Li
Zhaomin Wang
Lei Zhuang
Guocai Yang
Jingdong Zhao
MDE
193
0
0
12 Jul 2025
Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning
Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning
Junlin Wang
Zhiyun Lin
1.4K
0
0
24 May 2025
DEAR: Disentangled Environment and Agent Representations for
  Reinforcement Learning without Reconstruction
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction
Ameya Pore
Riccardo Muradore
Diego DallÁlba
DRL
185
5
0
30 Jun 2024
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
Manuel S. Nunes
Atabak Dehban
Y. Demiris
J. Santos-Victor
242
0
0
27 May 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
296
11
0
23 May 2024
Entity-Centric Reinforcement Learning for Object Manipulation from
  Pixels
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&RoOffRLOCL
181
21
0
01 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active
  Online Exploration
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRLOnRL
191
0
0
31 Mar 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement
  Learning with Diverse Human Feedback
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
Yifu Yuan
Jianye Hao
Yi-An Ma
Zibin Dong
Hebin Liang
Jinyi Liu
Zhixin Feng
Kai-Wen Zhao
Yan Zheng
OffRLALM
279
19
0
04 Feb 2024
General Flow as Foundation Affordance for Scalable Robot Learning
General Flow as Foundation Affordance for Scalable Robot LearningConference on Robot Learning (CoRL), 2024
Chengbo Yuan
Chuan Wen
Tong Zhang
Yang Gao
AI4CE
251
63
0
21 Jan 2024
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