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Here are ten unsolved problems in algorithmic trading framed within a pure mathematics context:
1. **Optimal Execution Problem**: Finding a universally optimal strategy for executing large orders t…
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# Human-level control through deep reinforcement learning #
- Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller…
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I really appreciate what you have done there.
But according to what I have seen from your gif, it seems work badly at even this simple game(Mario).
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Will it be better to use traditional deep…
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I am using python 2.7
and I guess because of this version difference,
I keep getting error in the part of 'def deep_q_learning(~)'
SyntaxError: 'return' with argument inside generator
How c…
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In case it's interesting or you have a sample gallery, breakout with deep-q learning (since that's the youtube video example originally shown for such games)
http://4quant.com/javascript-breakout/ rep…
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Flappy-bird-deep-Q-learning-pytorch/src/deep_q_network.py:21: UserWarning: nn.init.uniform is now deprecated in favor of nn.init.uniform_.
nn.init.uniform(m.weight, -0.01, 0.01)
Perform a random a…
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Hi,
I tried using another datasets, one with a forex pair and another one with the BTC/USD pair but it gives me that error for every dataset. With the original dataset (**btc.csv**) this error doesn'…
cTatu updated
6 years ago
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At some point we thinking about having reinforcement learning and/or neuro-evolution-style reinforcement learning examples in ml5. Some references:
With Genetic Algorithms and vanilla JS neural net…
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Current design is the most basic architecture for deep RL. Followings are some improvements which can be made for Q-learning.
- [x] Experience Replay
- [x] Usage of 'Targent Network' (See deepmind…