{"id":"arxiv:1511.06581","title":"Dueling Network Architectures for Deep Reinforcement Learning","date":"2015-11-20","section":"Reinforcement learning","quality":0.086863,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/","source_url":"https://arxiv.org/abs/1511.06581","text_available":true,"authors":["Ziyu Wang","Tom Schaul","Matteo Hessel","Hado van Hasselt"],"outgoing":[{"source":"arxiv:1511.06581","target":"arxiv:1509.06461","evidence":"id","id":"arxiv:1509.06461","title":"Deep Reinforcement Learning with Double Q-learning","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/a2f115ac879cd2efb9548baf3ecdcb925d2492f03b4b0940720f6e5b0840715b/"},{"source":"arxiv:1511.06581","target":"arxiv:1511.05952","evidence":"title","id":"arxiv:1511.05952","title":"Prioritized Experience 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Discussion","offset":36206,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/part-3.html#text"},{"title":"6 Conclusions","offset":37739,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/part-3.html#text"},{"title":"Appendix A Double DQN Algorithm","offset":38183,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/part-3.html#text"},{"title":"Instructions for reporting errors","offset":38219,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/part-3.html#text"}],"text_code_points":39183,"source_markdown":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/0a5f0593cf943c782ba38ae2fc386f953f859b9d3fc9722e8f17f67ca9cf50b5/source.md"}