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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
15 November 2016
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
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Papers citing
"#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning"
50 / 467 papers shown
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143
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126
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150
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177
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329
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Reward Models in Deep Reinforcement Learning: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2024
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De-Chuan Zhan
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158
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Claudia Clopath
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214
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145
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83
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302
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310
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261
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Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
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363
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381
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309
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205
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205
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