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Research map / Reinforcement learning / Imitation learning

Interactive Learning from Activity Description

ICML 2021 · Reinforcement learning › Imitation learning · approach: Imitation combined with RL · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
train with activity descriptions instead of scalar rewardsADEL versus the best REINFORCE baseline · Vision-language navigationtest success rate (%): +9.8%Helped
train with activity descriptions instead of scalar rewardsADEL versus REINFORCE · Word modificationtest success rate (%): +88.1%Helped
use activity descriptions rather than demonstrationsADEL versus DAgger · Vision-language navigationtest success rate (%): 32.0 ± 1.63 -> 31.9 ± 0.76Hurt
use activity descriptions rather than demonstrationsADEL versus DAgger · Word modificationtest success rate (%): 93.0 ± 0.37 -> 89.0 ± 1.30Hurt
remove approximate marginal from execution sampling (ablation)ADEL · Vision-language navigationvalidation success rate (%): ~0.0 -> 32.0Helped
remove approximate marginal from execution sampling (ablation)ADEL · Word modificationvalidation success rate (%): ~0.2 -> 88.0Helped
use only the approximate marginal for execution sampling (ablation)ADEL · Vision-language navigationvalidation success rate (%): 29.4 -> 32.0Hurt
use only the approximate marginal for execution sampling (ablation)ADEL · Word modificationvalidation success rate (%): 55.7 -> 88.0Hurt
mix the approximate marginal with the agent-estimated conditional (ablation)ADEL · Vision-language navigationvalidation success rate (%): 29.4 -> 32.0Helped
mix the approximate marginal with the agent-estimated conditional (ablation)ADEL · Word modificationvalidation success rate (%): 55.7 -> 88.0Helped

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