Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lucas Lehnert"'
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008317 (2020)
In computer science, reinforcement learning is a powerful framework with which artificial agents can learn to maximize their performance for any given Markov decision process (MDP). Advances over the last decade, in combination with deep neural netwo
Externí odkaz:
https://doaj.org/article/c974a410c9fe40b3afcec3ba2be17a91
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008317 (2020)
PLoS Computational Biology
PLoS Computational Biology
In computer science, reinforcement learning is a powerful framework with which artificial agents can learn to maximize their performance for any given Markov decision process (MDP). Advances over the last decade, in combination with deep neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a31466e0cee364e9c3f8e6734ca0415
https://doi.org/10.1101/653493
https://doi.org/10.1101/653493
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
In Reinforcement Learning, an intelligent agent has to make a sequence of decisions to accomplish a goal. If this sequence is long, then the agent has to plan over a long horizon. While learning the optimal policy and its value function is a well stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f57c1d3de2ca540dafd76d9de287a610
https://doi.org/10.1609/aaai.v32i1.11646
https://doi.org/10.1609/aaai.v32i1.11646