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Nice extension from URLB and it is really helpful for my research. I want to know how the dataset is collected in your sample.py function. From the paper of exo-rl, I think it collects the data from t…
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## 一言でいうと
学習済みエージェントの行動履歴から学習するOffline強化学習の研究。Offline(新しいデータが取れない)状態で汎化させるため、複数エージェントの価値予測をランダムにアンサンブルして予測を行う(Random Ensemble Mixture)。これにより元エージェントを上回る性能を獲得。強化学習版蒸留ともいえる。
### 論文リンク
https://ar…
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Is there a way to save weights to a file and reload them later? For instance, in the car example there is ui.cpp which lets the user control the car, and car.cpp appears to train it. I am assuming may…
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# Summary
1. There are issues with the scoring calculation of expert strategies in the maze2d environment.
2. The incorrect scoring calculation is a result of the expert strategies not being called …
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Support for additional OPE algorithms such as weighted importance sampling, doubly robust.
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Hi.
Inspired by your work.
I don't know if you are interested in adapting this code so it can handle the new Tasmota autodiscovery as well ? Tasmota team dropped support for "Setoption19 1" a le…
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Hi, I am the developer of [DI-engine](https://github.com/opendilab/DI-engine), we are developing a new DRL platform with [various algorithms](https://github.com/opendilab/DI-engine#algorithm-versatili…
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Hi,
Can anyone give me advice on training an RL agent, that can choose actions only from a given data set.
I am working on a control system problem. I have collected half a year worth of data ab…
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Dear author,
First of all, thank you for the incredible effort in creating this valuable work. I am trying to adapt your environment into my project but my environment consists of PV inverters in s…
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### Description
The current implementation of `ReplayBuffer` uses Python's `list` to store samples in memory. If the required data does not fit into memory, training is not possible (take CQL as an…