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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning

The Web Conference (WWW), 2025
30 April 2025
Pulkit Agrawal
Rukma Talwadker
Aditya Pareek
Tridib Mukherjee
    OffRL
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Papers citing "FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning"

1 / 1 papers shown
Title
CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming PlatformKnowledge Discovery and Data Mining (KDD), 2022
Rukma Talwadker
Surajit Chakrabarty
Aditya Pareek
Tridib Mukherjee
Deepak Saini
192
6
0
01 May 2025
1