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Implement the best practices from multi-agent Rl community and stablebaselines3 into our algorithm. Further analyse similarities between petting zoo multi-agent implementation to current RL implementa…
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thanks for your sharing,how to solve Flow Shop Scheduling Problem with Deep Reinforcement Learning?like DQN
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Deep Predictive Policy Training using Reinforcement Learning
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
This work is submitted to IEEE/RSJ International Conference on Intelligent Rob…
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Post your questions here about: “Reinforcement Learning” and “Deep Reinforcement Learning”, Thinking with Deep Learning, Chapters 15 & 16
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https://arxiv.org/abs/1702.08165
TMats updated
7 years ago
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https://arxiv.org/abs/1707.06203
TMats updated
7 years ago
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## 概要
深層強化学習を用いて文単純化．
モデルはよくあるencoder-decoder attentionモデル．
報酬として，文の単純さ, 文法の正しさ，流暢さ(文の自然さ)の3つの重み付き和を導入．
BLEUなどの自動評価の結果はイマイチだが，人手評価では最も高い評価を得ている．
## 著者
Xingxing Zhang and Mirella Lapata
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Pose a question about one of the following articles:
“[Human-level control through deep reinforcement learning](https://www.nature.com/articles/nature14236)” 2015. V. Mnih...D. Hassabis. Nature 51…
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## Project Request
The project aims to develop a Stock Market Trading Agent using Deep Reinforcement Learning.
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I would very much appreciate the extra functionality to be able to call a method and have it return a numpy array of the RGB values of the current dolphin frame. I am a Deep Reinforcement Learning res…