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Generative flow networks (GFlowNets), as an emerging technique, can be used as an alternative to reinforcement learning for exploratory control tasks.
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Dan Alistarh, Torsten Hoefler, Mikael Johansson, Nikola Konstantinov, Sarit Khirirat, and Cédric Renggli · 2018
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Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Vlad Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, et al · 2018
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Learning dexterous in-hand manipulation
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Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, and Jimmy Ba · 2020
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B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A Al Sallab, Senthil Yogamani, and Patrick Pérez · 2021
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Reinforcement learning with prototypical representations
Denis Yarats, Rob Fergus, Alessandro Lazaric, and Lerrel Pinto · 2021
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Adam Stooke and Pieter Abbeel · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Roman Vershynin · 2018
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A convergence theory for deep learning via over-parameterization
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Gradient descent finds global minima of deep neural networks
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Provably efficient maximum entropy exploration
Elad Hazan, Sham Kakade, Karan Singh, and Abby Van Soest · 2019
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Flow network based generative models for non-iterative diverse candidate generation, 2021a
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, and Yoshua Bengio
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Tristan Deleu, António Góis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, and Yoshua Bengio · 2022
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Biological sequence design with gflownets
Moksh Jain, Emmanuel Bengio, Alex Hernandez-Garcia, Jarrid Rector-Brooks, Bonaventure FP Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, et al · 2022
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Gflowcausal: Generative flow networks for causal discovery
Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, and Yan Pang · 2022
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Trajectory balance: Improved credit assignment in gflownets
Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, and Yoshua Bengio · 2022
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Dag matters! gflownets enhanced explainer for graph neural networks
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye HAO, and Yan Pang · 2023
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