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https://kuboard.cn/learning/k8s-advanced/policy/rq.html
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https://kuboard.cn/learning/k8s-advanced/policy/sec.html
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## 一言でいうと
returnベースの方策オフ強化学習における安全で効率的なアルゴリズムの提案。安全とは、方策の"オフ具合"に対して性能がロバストであること。効率的とは、学習効率が良いこと。収束性の保証と実験を与えた。NIPS 2016に通っていて、真面目に解析を読むのはつらそう。
### 論文リンク
https://arxiv.org/abs/1606.02647
### 著者…
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I would like to ask about the upper and lower bounds of the obs space in `BaseRLAviary.py`, I. noticed that the bounds are - and + infinity, does not that make the state space very huge to be explored…
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The repository contains examples to fine-tune the model using Supervised Fine Tuning. I wish to add examples of Transformer Reinforcement Learning (TRL) particulary [Direct Policy Optimization (DPO)](…
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https://arxiv.org/abs/1702.08165
TMats updated
7 years ago
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Hello,
I've been trying to qwen2 0.5B and tinyclip using the repository, but I'm running into CUDA OOM issues on the dense2dense distillation step. Im running on 4 80GB A100s, I was wondering if I …
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CI test **linux://rllib:learning_tests_multi_agent_cartpole_dqn_gpu** is flaky. Recent failures:
- https://buildkite.com/ray-project/postmerge/builds/5494#0190c314-728f-42a8-a960-af20a90ba259
DataC…
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- [ ] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [ ] ne…
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Cross-posting this question from pseeth's repo because in your example you do use a one-cycle LR schedule.
Has there been any research on how this strategy interacts with a learning rate schedule? …