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NTIS 바로가기전자통신동향분석 = Electronics and telecommunications trends, v.34 no.6, 2019년, pp.87 - 99
신승재 (지능네트워크연구실) , 조충래 (지능네트워크연구실) , 전홍석 (지능네트워크연구실) , 윤승현 (지능네트워크연구실) , 김태연 (지능네트워크연구실)
Reinforcement learning is a type of machine learning paradigm that forces agents to repeat the observation-action-reward process to assess and predict the values of possible future action sequences. This allows the agents to incrementally reinforce the desired behavior for a given observation. Thank...
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오일석, 패턴인식, 교보문고, 2008년.
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https://github.com/NervanaSystems/coach
https://www.tensorflow.org/?hlko
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https://gym.openai.com/
https://github.com/openai/roboschool
https://github.com/Breakend/gym-extensions
https://github.com/bulletphysics/bullet3
http://vizdoom.cs.put.edu.pl/
http://carla.org/
https://github.com/deepmind/pysc2
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https://spinningup.openai.com/en/latest/
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https://github.com/araffin/rl-baselines-zoo
https://tensorforce.readthedocs.io/en/latest/
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https://github.com/mgbellemare/Arcade-Learning-Environment
https://github.com/microsoft/MazeExplorer
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https://github.com/ntasfi/PyGame-Learning-Environment
https://github.com/tensorflow/agents
https://github.com/deepmind/trfl
https://winderresearch.com/a-comparison-of-reinforcementlearning-frameworks-dopamine-rllib-keras-rl-coach-trfltensorforce-coach-and-more/
https://medium.com/@vermashresth/a-primer-on-deepreinforcement-learning-frameworks-part-1-6c9ab6a0f555
https://mc.ai/choosing-a-deep-reinforcement-learning-library/
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