Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning

Author:

Jin Jun1,Graves Daniel1,Haigh Cameron1,Luo Jun1,Jagersand Martin2

Affiliation:

1. Huawei Technologies Canada, Ltd.,Noah's Ark Lab,Edmonton,AB.,Canada

2. University of Alberta,Department of Computing Science,Edmonton,AB.,Canada

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Similar assembly state discriminator for reinforcement learning-based robotic connector assembly;Robotics and Computer-Integrated Manufacturing;2025-02

2. A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies;Industrial & Engineering Chemistry Research;2024-06-10

3. GPTMORE: Generative Pre-trained Transformer for Model-based Offline Reinforcement Learning;2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII);2023-12-15

4. GVFs in the real world: making predictions online for water treatment;Machine Learning;2023-11-08

5. Counterfactual learning in enhancing resilience in autonomous agent systems;Frontiers in Artificial Intelligence;2023-07-28

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