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GitHub / HumanCompatibleAI / better-adversarial-defenses

Training in bursts for defending against adversarial policies

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HumanCompatibleAI%2Fbetter-adversarial-defenses
PURL: pkg:github/HumanCompatibleAI/better-adversarial-defenses

Stars: 11
Forks: 3
Open issues: 0

License: None
Language: Python
Size: 47.9 MB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: almost 2 years ago
Pushed at: over 4 years ago
Last synced at: about 1 month ago

Commit Stats

Commits: 297
Authors: 2
Mean commits per author: 148.5
Development Distribution Score: 0.054
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/HumanCompatibleAI/better-adversarial-defenses

Topics: adversarial-examples, adversarial-policies, gym, multiagent-reinforcement-learning, population-based-training, ray, reinforcement-learning, rllib, stable-baselines, tensorflow2

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