Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866916626239062016 |
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| author | Jang, Sooyoung Kim, Hyung-Il |
| author_facet | Jang, Sooyoung Kim, Hyung-Il |
| contents | Encouraging exploration is a critical issue in deep reinforcement learning. We investigate the effect of initial entropy that significantly influences the exploration, especially at the earlier stage. Our main observations are as follows: 1) low initial entropy increases the probability of learning failure, and 2) this initial entropy is biased towards a low value that inhibits exploration. Inspired by the investigations, we devise entropy-aware model initialization, a simple yet powerful learning strategy for effective exploration. We show that the devised learning strategy significantly reduces learning failures and enhances performance, stability, and learning speed through experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2108_10533 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning Jang, Sooyoung Kim, Hyung-Il Machine Learning Artificial Intelligence Encouraging exploration is a critical issue in deep reinforcement learning. We investigate the effect of initial entropy that significantly influences the exploration, especially at the earlier stage. Our main observations are as follows: 1) low initial entropy increases the probability of learning failure, and 2) this initial entropy is biased towards a low value that inhibits exploration. Inspired by the investigations, we devise entropy-aware model initialization, a simple yet powerful learning strategy for effective exploration. We show that the devised learning strategy significantly reduces learning failures and enhances performance, stability, and learning speed through experiments. |
| title | Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2108.10533 |