Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets

3 June 2024

Papers citing "Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets"

50 / 57 papers shown

Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 106 1 0 08 Mar 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun Dinghuai Zhang Jinkyoo Park Ling Pan DiffM 93 4 0 17 Feb 2025
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Timofei Gritsaev Nikita Morozov S. Samsonov D. Tiapkin 42 3 0 20 Oct 2024
GFlowNet Pretraining with Inexpensive Rewards Mohit Pandey G. Subbaraj Emmanuel Bengio AI4CE 68 4 0 15 Sep 2024
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples Fangxu Yu Lai Jiang Haoqiang Kang Shibo Hao Lianhui Qin LRM AI4CE 115 10 0 09 Jun 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 135 30 0 15 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 82 8 0 11 Feb 2024
QGFN: Controllable Greediness with Action Values Elaine Lau Stephen Zhewen Lu Ling Pan Doina Precup Emmanuel Bengio 126 14 0 07 Feb 2024
Backward Learning for Goal-Conditioned Policies Marc Höftmann Jan Robine Stefan Harmeling 53 1 0 08 Dec 2023
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang Rui Yang Xi Chen Hao Sun Meng Fang Giovanni Montana OffRL 75 11 0 30 Oct 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 64 33 0 19 Oct 2023
Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout Haoran Wang Zeshen Tang Leya Yang Yaoru Sun Fang Wang Siyu Zhang Ye-Ting Chen 55 2 0 24 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 78 58 0 22 Jul 2023
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design Julien Roy Pierre-Luc Bacon C. Pal Emmanuel Bengio AI4CE 37 18 0 07 Jun 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 81 46 0 30 May 2023
Towards Understanding and Improving GFlowNet Training Max W. Shen Emmanuel Bengio Ehsan Hajiramezanali Andreas Loukas Kyunghyun Cho Tommaso Biancalani 38 54 0 11 May 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 69 33 0 19 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 52 27 0 11 Feb 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 55 24 0 08 Feb 2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories L. Pan Nikolay Malkin Dinghuai Zhang Yoshua Bengio 63 68 0 03 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 66 52 0 01 Feb 2023
Robust Scheduling with GFlowNets David W. Zhang Corrado Rainone M. Peschl Roberto Bondesan 73 55 0 17 Jan 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 63 598 0 10 Jan 2023
Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li J. M. Phillips Xin Yu Robert M. Kirby Shandian Zhe 113 15 0 23 Oct 2022
Generative Augmented Flow Networks L. Pan Dinghuai Zhang Aaron Courville Longbo Huang Yoshua Bengio 129 47 0 07 Oct 2022
Learning GFlowNets from partial episodes for improved convergence and stability Kanika Madan Jarrid Rector-Brooks Maksym Korablyov Emmanuel Bengio Moksh Jain A. Nica Tom Bosc Yoshua Bengio Nikolay Malkin 53 98 0 26 Sep 2022
Prioritizing Samples in Reinforcement Learning with Reducible Loss Shivakanth Sujit Somjit Nath Pedro H. M. Braga Samira Ebrahimi Kahou 58 15 0 22 Aug 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 77 158 0 15 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$ -Advantage Regression Yecheng Jason Ma Jason Yan Dinesh Jayaraman Osbert Bastani OffRL 58 56 0 07 Jun 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 76 155 0 28 Feb 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 71 70 0 09 Feb 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 190 180 0 31 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 71 140 0 20 Jan 2022
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 39 229 0 17 Nov 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 75 62 0 26 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 148 61 0 01 Oct 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 64 144 0 01 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 50 17 0 01 Jul 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 94 327 0 08 Jun 2021
Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar Mauricio Tec S. Niekum Peter Stone OOD 82 41 0 27 May 2021
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 60 71 0 17 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 55 93 0 27 Oct 2020
Bidirectional Model-based Policy Optimization Hang Lai Jian Shen Weinan Zhang Yong Yu 54 57 0 04 Jul 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 105 26 0 01 Jun 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 92 789 0 28 Apr 2020
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 117 220 0 19 Nov 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 62 225 0 13 Jun 2019
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 62 53 0 22 Jun 2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal Philemon Brakel W. Fedus Soumye Singhal Timothy Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio OffRL 57 68 0 02 Apr 2018
Forward-Backward Reinforcement Learning Ashley D. Edwards Laura Downs James C. Davidson 52 37 0 27 Mar 2018