Hotfix release available: 2025-05-14b "Librarian".
upgrade now! [56.2] (what's this?)
Hotfix release available: 2025-05-14a "Librarian".
upgrade now! [56.1] (what's this?)
New release available: 2025-05-14 "Librarian".
upgrade now! [56] (what's this?)
Hotfix release available: 2024-02-06b "Kaos".
upgrade now! [55.2] (what's this?)
Hotfix release available: 2024-02-06a "Kaos".
upgrade now! [55.1] (what's this?)
New release available: 2024-02-06 "Kaos".
upgrade now! [55] (what's this?)
Hotfix release available: 2023-04-04b "Jack Jackrum".
upgrade now! [54.2] (what's this?)
Hotfix release available: 2023-04-04a "Jack Jackrum".
upgrade now! [54.1] (what's this?)
New release available: 2023-04-04 "Jack Jackrum".
upgrade now! [54] (what's this?)
Hotfix release available: 2022-07-31b "Igor".
upgrade now! [53.1] (what's this?)
Hotfix release available: 2022-07-31a "Igor".
upgrade now! [53] (what's this?)
New release available: 2022-07-31 "Igor".
upgrade now! [52.2] (what's this?)
New release candidate 2 available: rc2022-06-26 "Igor".
upgrade now! [52.1] (what's this?)
New release candidate available: 2022-06-26 "Igor".
upgrade now! [52] (what's this?)
Hotfix release available: 2020-07-29a "Hogfather".
upgrade now! [51.4] (what's this?)
memento-learning-multi-agent-state-space-representations
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
memento-learning-multi-agent-state-space-representations [2025/12/22 04:03] 47.128.62.223 old revision restored (2025/11/04 17:00) |
memento-learning-multi-agent-state-space-representations [2026/01/03 00:48] (current) 152.59.144.176 old revision restored (2025/10/22 21:12) |
||
|---|---|---|---|
| Line 72: | Line 72: | ||
| L' | L' | ||
| - | Chaque agent utilise | + | Chaque agent utile 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. | ||
memento-learning-multi-agent-state-space-representations.1766372631.txt.gz · Last modified: 2025/12/22 04:03 by 47.128.62.223
