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Congratulations to you for your valuable work on evolutionary reinforcement learning. I want to know whether evolutionary algorithm can be combined with on-policy(for example, PPO) algorithm, if there…
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2- The first paragraph of introduction should discuss about the study motivation and how the proposal can improve on the state of art?
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It would be useful to have some more performance metrics for MO optimization.
For instance, some that are often used in MO papers are:
- [ ] Diversity of the non-dominated front
- [ ] Closeness…
Sceki updated
4 years ago
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*Issue migrated from trac ticket # 2987*
**milestone:** HeuristicLab 3.3.x Backlog | **component:** Algorithms.DataAnalysis | **priority:** medium
#### 2019-01-25 10:31:05: @foolnotion created the i…
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thank you so much for nice job.
I want to implement one of the algorithms without gradient in this project and compare the results with the algorithms in this project such as actorcritic, dqn ,rei…
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Releasing a github page meant to share a new merging method, only to provide no merging code whatsoever is a really shitty move. Its not so much the fact that you didnt release your code that sucks. I…
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Consider parallelization of the algorithms in multiple modes:
- [x] Single process (core)
- [x] Multi-threading
- [ ] Multi-process (multi-core)
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Add a note book illustrating how compact the [compact GA](https://ieeexplore.ieee.org/document/797971) is expressed in EvoFlow. This notebook follows the introduction in issue #53
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The methodology can be more or less the same
* Use industry-standard scores to assess the security of a certain installation.
* Improve configuration via evolutionary (or other) algorithms, focusing…
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Hi,
I’d like to use PyTorch to run Evolutionary algorithms on GPU. I noticed that DE (differential evolution) is implemented in Torch (https://github.com/torch/optim/blob/master/de.lua), so I was t…
depet updated
4 years ago