AI Olympics challenge with Evolutionary Soft Actor Critic
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909367392010240 |
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| author | Calì, Marco Sinigaglia, Alberto Turcato, Niccolò Carli, Ruggero Susto, Gian Antonio |
| author_facet | Calì, Marco Sinigaglia, Alberto Turcato, Niccolò Carli, Ruggero Susto, Gian Antonio |
| contents | In the following report, we describe the solution we propose for the AI Olympics competition held at IROS 2024. Our solution is based on a Model-free Deep Reinforcement Learning approach combined with an evolutionary strategy. We will briefly describe the algorithms that have been used and then provide details of the approach |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_01104 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI Olympics challenge with Evolutionary Soft Actor Critic Calì, Marco Sinigaglia, Alberto Turcato, Niccolò Carli, Ruggero Susto, Gian Antonio Robotics Artificial Intelligence Machine Learning Neural and Evolutionary Computing In the following report, we describe the solution we propose for the AI Olympics competition held at IROS 2024. Our solution is based on a Model-free Deep Reinforcement Learning approach combined with an evolutionary strategy. We will briefly describe the algorithms that have been used and then provide details of the approach |
| title | AI Olympics challenge with Evolutionary Soft Actor Critic |
| topic | Robotics Artificial Intelligence Machine Learning Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2409.01104 |