🔬

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning

📅 2017
technical research breakthrough
🔵 Rare

📖 Description

arXiv:1709.06166v1 [cs.AI] 18 Sep 2017DropoutDAgger: A Bayesian Approach to Safe Imitation Learn ing Kunal Menda, Katherine Driggs-Campbell, and Mykel J. Koche nderfer Abstract ? While imitation learning is becoming com- mon practice in robotics, this approach often suffers from data mismatch and compounding errors. DAgger is an iterative algorithm that addresses these issues by continually aggregating training data from both the expert and novice policies, but does not consider the impact of safety. We present a probabilistic extension to DAgger, which uses the distribution over actions provided by the novice policy, for a given observation. Our method, which we call DropoutDAgger, uses dropout to train the novice as a Bayesian neural network that provides insight to its con?dence. Using the distribution over the novice?s action s, we estimate a probabilistic measure of safety with respect to the expert action, tuned to balance exploration and exploitation. The utility of this ap...

📊 Game Impacts

Not verified in game

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Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Advances our understanding of AI safety"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Published in academic venue"
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🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Category and tags describe the real-world event and are maintained in pdoom-data. Rarity, game impacts and p(doom) effects are game-mechanical values owned by pdoom1. Each link below goes to the repository that decides that field.

📁 Category Technical Research Breakthrough → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

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