Funder
National Natural Science Foundation of China
Department of Science and Technology of Guangdong Province
Key Technologies Research and Development Program
the Science and Technology Development Fun, Macao S.A.R.
Publisher
Springer Science and Business Media LLC
Reference32 articles.
1. Sutton RS, Barto AG (2018) Reinforcement learning: An introduction, MIT press
2. Kober J, Bagnell JA, Peters J (2013) Reinforcement learning in robotics: A survey. Int J Robot Res 32(11):1238–1274
3. Kiumarsi B, Vamvoudakis KG, Modares H, Lewis FL (2017) Optimal and autonomous control using reinforcement learning: A survey. IEEE Trans Actions Neural Netw Learn Syst 29(6):2042–2062
4. Zhu W, Guo X, Owaki D, Kutsuzawa K, Hayashibe M (2021) A survey of sim-to-real transfer techniques applied to reinforcement learning for bioinspired robots. IEEE Trans Neural Netw Learn Syst
5. Arulkumaran K, Deisenroth MP, Brundage M, Bharath AA (2017) Deep reinforcement learning: A brief survey. IEEE Signal Process Magazine 34(6):26–38
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