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Hi, I want to run atari games based on the prioritized experience replay. However, the current code does not work. Any ideas?
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There's a valid-action-getter, which produces all valid actions for a given board.
The MCTS framework should pass:
1. the underlying state (i.e., state::State)
2. the player who's playing
3. the v…
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I find from [here](https://github.com/yenchenlin/DeepLearningFlappyBird/blob/master/deep_q_network.py#L146) that all the rewards are add into the deque. We need to sample the 1 and -1 reward from the …
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Trying this two different q_functions:
(non recurrent)
```
class QFunction(chainer.Chain, StateQFunction):
def __init__(self, n_input_channels=3, n_actions = 4, bias=0.1):
…
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Few times a day I am having connection issues between nodes and clients are seeing occasional "Bad request" error. My swarm setup (aws) has following services: `nginx` (global) and `web` (replicated=2…
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I want to implement the prioritized by python, and now I find your torch version and get inspired.
So can I convert rank-based prioritized experience replay to a python version, maybe some place will…
Damcy updated
8 years ago
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subj. Instead of training directly from experience, maintain a pool of experience sessions that are most interesting for training. The pool is updated by regular new session generation, while the leas…
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Requires a "sum tree" binary heap for efficient execution.
**Edit 2016-06-02:** Please keep to the [contributing guidelines](https://github.com/Kaixhin/Atari/blob/master/CONTRIBUTING.md#using-the-iss…
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It would be really nice if we could minimize the Mac application to the menu bar instead of having it remain in the dock.
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```
Add off-screen rendering support. See
http://magpcss.org/ceforum/viewtopic.php?f=10&t=645 for CEF3 information.
```
Original issue reported on code.google.com by `magreenb...@gmail.com` on 13 Fe…