LESSON: Learning to Integrate Exploration Strategies for Reinforcement
Learning via an Option Framework

LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework

International Conference on Machine Learning (ICML), 2023

5 October 2023

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Papers citing "LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework"

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Title
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection Chenran Zhao Dianxi Shi Mengzhu Wang Jianqiang Xia Huanhuan Yang Songchang Jin Shaowu Yang Chunping Qiu 251 0 0 04 May 2025
OptionZero: Planning with Learned OptionsInternational Conference on Learning Representations (ICLR), 2025 Po-Wei Huang Pei-Chiun Peng Hung Guei Tai-Lin Wu 477 2 0 23 Feb 2025
$β$ -DQN: Improving Deep Q-Learning By Evolving the BehaviorAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 Hongming Zhang Fengshuo Bai Chenjun Xiao Chao Gao Bo Xu Martin Müller OffRL 302 3 0 01 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning ApplicationsIEEE Access (IEEE Access), 2024 Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 270 47 0 31 Dec 2024
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective Renye Yan Yaozhong Gan You Wu Ling Liang Junliang Xing Yimao Cai Ru Huang 275 2 0 19 Aug 2024