Methods › General › Adversarial Training › Adversarial Soft Advantage Fitting (ASAF)
Adversarial Soft Advantage Fitting (ASAF)
Introduced by Paul Barde et al. in Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization 23 Jun 2020 · 3 repositories · arXiv:2006.13258
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MinScIE: Citation-centered Open Information Extraction 1 Jun 2019 · 1 repository
Tasks archive 2025-07-28
5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Imitation Learning | 1 |
| Open Information Extraction | 1 |
| Reinforcement Learning | 1 |
| Reinforcement Learning (RL) | 1 |
| reinforcement-learning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections