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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement
  Learning

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

3 June 2021
Mingde Zhao
Zhen Liu
Sitao Luan
Shuyuan Zhang
Doina Precup
Yoshua Bengio
ArXivPDFHTML

Papers citing "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning"

7 / 7 papers shown
Title
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
Chao Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
76
2
0
18 Feb 2025
Re-evaluating the Advancements of Heterophilic Graph Learning
Re-evaluating the Advancements of Heterophilic Graph Learning
Sitao Luan
Qincheng Lu
Chenqing Hua
Xinyu Wang
Jiaqi Zhu
Xiao-Wen Chang
57
2
0
09 Sep 2024
A Tractable Inference Perspective of Offline RL
A Tractable Inference Perspective of Offline RL
Xuejie Liu
Anji Liu
Guy Van den Broeck
Yitao Liang
OffRL
34
1
0
31 Oct 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
28
4
0
21 Feb 2023
PLATO: Predicting Latent Affordances Through Object-Centric Play
PLATO: Predicting Latent Affordances Through Object-Centric Play
Suneel Belkhale
Dorsa Sadigh
OffRL
22
13
0
10 Mar 2022
A Theory of Consciousness from a Theoretical Computer Science
  Perspective: Insights from the Conscious Turing Machine
A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine
L. Blum
Manuel Blum
AI4CE
24
53
0
29 Jul 2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Modeling Event Plausibility with Consistent Conceptual Abstraction
Ian Porada
Kaheer Suleman
Adam Trischler
Jackie C.K. Cheung
113
19
0
20 Apr 2021
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