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pro vyhledávání: '"Matvey Gerasyov"'
Publikováno v:
IEEE Access, Vol 12, Pp 173316-173324 (2024)
Reinforcement learning in environments with visual observations presents challenges due to incomplete individual observations. The lack of complete information leads to increased uncertainty in decision-making, which requires agents to be supplemente
Externí odkaz:
https://doaj.org/article/0dfa427074864d9dad1e45fe41dd6eef
Autor:
Matvey Gerasyov, Ilya Makarov
Publikováno v:
IEEE Access, Vol 11, Pp 89180-89187 (2023)
Deep reinforcement learning in partially observable environments is a difficult task in itself and can be further complicated by a sparse reward signal. Most tasks involving navigation in three-dimensional environments provide the agent with minimal
Externí odkaz:
https://doaj.org/article/29caddba3273410abf656b5c37fe8d60