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class M1(DQNConfig):
backend = 'tf'
env_type = 'detail'
action_repeat = 1
class M2(DQNConfig):
backend = 'tf'
env_type = 'detail'
action_repeat = 4
I use
python m…
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Hi,
Cross posting a related issue here
https://github.com/deepmind/reverb/issues/91
After looking at the DQN agent implementation in Acme, I am not sure if the prioritized variant matches the …
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我使用PER的时候,
important_sampling()函数中常常会因为assert 0
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**RNNを使った分散型Q学習アルゴリズムR2D2にエキスパートの軌道からなるReplay Bufferを追加することで探索効率を向上させた**
論文本体・著者
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* Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
* https://deepm…
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Hi, I read rlgraph paper and wanted to give it a try, so I wanted to set up and run a few examples, but the first one breaks for me. Repro:
```
virtualenv -p python3 venv
source venv/bin/activate
…
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After updating the vectorized env and the corresponding multiprocessing training module, support for the PER algorithm has been affected.
Corresponding Pull Request: https://github.com/AI4Finance…
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Currently, there is a working multi-agent PPO implementation here:
[https://github.com/matteobettini/rl/blob/mappo_ippo/examples/multiagent/mappo_ippo.py](url)
and a working single-agent DDPG impl…
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Hi, could you please clarify the description of the parm max_sequence_length in ReverbAddEpisodeObserver.
The description is a little bit messy.
max_sequence_length: An integer. `max_sequence_len…
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First of All,
Thank you for this awesome repo, It saved months of my life ;-)
I'm just letting you know that I'm following closely the ongoing implementation of the Priority Replay buffer with Rev…