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Reward Propagation Using Graph Convolutional Networks
v1v2 (latest)

Reward Propagation Using Graph Convolutional Networks

Neural Information Processing Systems (NeurIPS), 2020
6 October 2020
Martin Klissarov
Doina Precup
    GNN
ArXiv (abs)PDFHTML

Papers citing "Reward Propagation Using Graph Convolutional Networks"

14 / 14 papers shown
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
Shuyuan Zhang
Zihan Wang
Xiao-Wen Chang
Doina Precup
140
2
0
14 Nov 2025
Transductive Reward Inference on Graph
Transductive Reward Inference on GraphIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
B. Qu
Xiaofeng Cao
Qing Guo
Yi Chang
Ivor W. Tsang
Chengqi Zhang
OffRL
450
1
0
06 Feb 2024
On Addressing the Limitations of Graph Neural Networks
On Addressing the Limitations of Graph Neural Networks
Sitao Luan
GNN
381
5
0
22 Jun 2023
Deep Laplacian-based Options for Temporally-Extended Exploration
Deep Laplacian-based Options for Temporally-Extended ExplorationInternational Conference on Machine Learning (ICML), 2023
Martin Klissarov
Marlos C. Machado
OffRL
295
31
0
26 Jan 2023
Reward Shaping Using Convolutional Neural Network
Reward Shaping Using Convolutional Neural NetworkInformation Sciences (Inf. Sci.), 2022
Hani Sami
Hadi Otrok
Jamal Bentahar
Azzam Mourad
Ernesto Damiani
170
5
0
30 Oct 2022
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise
  Reward
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise RewardIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Tengyu Xu
Yue Wang
Shaofeng Zou
Yingbin Liang
OffRL
299
16
0
13 Jun 2022
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Wei Qiu
Weixun Wang
Rongpin Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
233
2
0
27 May 2022
Dealing with Sparse Rewards Using Graph Neural Networks
Dealing with Sparse Rewards Using Graph Neural NetworksIEEE Access (IEEE Access), 2022
Matvey Gerasyov
Ilya Makarov
351
4
0
25 Mar 2022
Shaping Advice in Deep Reinforcement Learning
Shaping Advice in Deep Reinforcement Learning
Baicen Xiao
Bhaskar Ramasubramanian
Radha Poovendran
157
0
0
19 Feb 2022
Flexible Option Learning
Flexible Option LearningNeural Information Processing Systems (NeurIPS), 2021
Martin Klissarov
Doina Precup
OffRL
228
33
0
06 Dec 2021
Neural Algorithmic Reasoners are Implicit Planners
Neural Algorithmic Reasoners are Implicit PlannersNeural Information Processing Systems (NeurIPS), 2021
Andreea Deac
Petar Velivcković
Ognjen Milinković
Pierre-Luc Bacon
Jian Tang
Mladen Nikolic
OffRL
198
26
0
11 Oct 2021
Off-Policy Reinforcement Learning with Delayed Rewards
Off-Policy Reinforcement Learning with Delayed RewardsInternational Conference on Machine Learning (ICML), 2021
Beining Han
Zhizhou Ren
Zuofan Wu
Yuanshuo Zhou
Jian-wei Peng
OffRL
205
46
0
22 Jun 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via
  Parameter Freezing
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter FreezingNeural Information Processing Systems (NeurIPS), 2021
Charlie Blake
Vitaly Kurin
Maximilian Igl
Shimon Whiteson
AI4CE
493
14
0
01 Mar 2021
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRLLRM
845
854
0
16 Sep 2020
1
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