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2310.03342
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LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
5 October 2023
Woojun Kim
Jeonghye Kim
Young-Jin Sung
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Papers citing
"LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework"
7 / 7 papers shown
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
27
0
0
04 May 2025
OptionZero: Planning with Learned Options
Po-Wei Huang
Pei-Chiun Peng
Hung Guei
Ti-Rong Wu
57
1
0
23 Feb 2025
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-DQN: Improving Deep Q-Learning By Evolving the Behavior
Hongming Zhang
Fengshuo Bai
Chenjun Xiao
Chao Gao
Bo Xu
Martin Müller
OffRL
35
2
0
03 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications
Sinan Ibrahim
Mostafa Mostafa
Ali Jnadi
Hadi Salloum
Pavel Osinenko
OffRL
52
12
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
38
1
0
19 Aug 2024
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
Woojun Kim
Whiyoung Jung
Myungsik Cho
Young-Jin Sung
24
7
0
01 Mar 2023
Flexible Option Learning
Martin Klissarov
Doina Precup
OffRL
41
26
0
06 Dec 2021
1