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Hi,
I am currently dealing with "agents/tf_agents/bandits/" . I am wondering where or if the classic Contextual Bandit off-policy evaluation procedures are present in Tensorflow.I mean exactly the…
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To improve network efficiency and reduce consumption, we propose replacing certains of current active polling method (periodic HTTP requests) with a single WebSocket connection for each active user. T…
Ovich updated
2 months ago
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# Bandits for Recommender Systems
Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.
[https://eugeneyan.com/writing/bandits/](https://eugeneyan.com/writing/ba…
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Thank you for this useful repo! I have a question, lets say there is logged data you want to use to train and evaluate a new policy. The logged data is something like where the context features descr…
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Hi!
When I tested the installation with simple_env, I got the following error:
```
File "scripts/run.py", line 120, in
model.learn(total_timesteps=1000000, log_interval=10, callback=ca…
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Hi,
Thank you to the LeRobot community for maintaining such a fantastic codebase. My research group and I have greatly benefited from your efforts. In my current project, I am using the repository …
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https://tech.uzabase.com/entry/2024/08/29/161828
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## 一言でいうと
ロボットアームで物をつかむタスクについて、シンプルなものも含め様々なアルゴリズムでパフォーマンスを計測した研究。結果として、素のMonte Carlo法でもDDPGと同程度/タスクによっては超えるパフォーマンスが得られることを確認。
### 論文リンク
https://arxiv.org/abs/1802.10264
### 著者/所属機関
Dei…
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Hello,
I believe this is the github repo for the paper "Benchmarks for Deep Off-Policy Evaluation".
Do you have any plans to release the **hyperparameters & setups** used for baselines results?
…
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https://speakerdeck.com/usaito/off-policy-evaluationfalseji-chu-toopen-bandit-dataset-and-pipelinefalseshao-jie