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memento-learning-multi-agent-state-space-representations
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| Both sides previous revision Previous revision Next revision | Previous revision | ||
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memento-learning-multi-agent-state-space-representations [2025/11/04 17:00] 66.249.70.200 old revision restored (2025/08/17 07:07) |
memento-learning-multi-agent-state-space-representations [2025/11/12 09:51] (current) 189.241.220.38 old revision restored (2025/07/25 19:44) |
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| Chaque agent utilise un réseau de neurone pour généraliser ses états " | Chaque agent utilise un réseau de neurone pour généraliser ses états " | ||
| - | Pour chaque échantillon Δ(x) et Δ(y) sont déterminés et stockés avec une variable booléenne qui indique s'il y a eu collision ou non. | + | Pour chaque échantillon, Δ(x) et Δ(y) sont déterminés et stockés avec une variable booléenne qui indique s'il y a eu collision ou non. |
| En pratique le réseau peut servir à l' | En pratique le réseau peut servir à l' | ||
memento-learning-multi-agent-state-space-representations.1762272027.txt.gz · Last modified: 2025/11/04 17:00 by 66.249.70.200
