CMBE: Curiosity-driven Model-Based Exploration for Multi-Agent Reinforcement Learning in Sparse Reward Settings-Reference-Cited by-同舟云学术

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CMBE: Curiosity-driven Model-Based Exploration for Multi-Agent Reinforcement Learning in Sparse Reward Settings

Published:2024-06-30 Issue: Volume:29 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Yang Kai¹,Fang Zhirui¹,Li Xiu¹,Tao Jian¹

Affiliation:

1. Tsinghua University,Tsinghua Shenzhen International Graduate School

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650769.pdf?arnumber=10650769

Reference36 articles.

1. Unifying count-based exploration and intrinsic motivation;Bellemare;Advances in neural information processing systems,2016

2. # exploration: A study of count-based exploration for deep reinforcement learning;Tang;Advances in neural information processing systems,2017

3. Curiosity-Driven Exploration by Self-Supervised Prediction

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