Jezik: | Slovenski jezik |
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Leto izida: | 2022 |
Tipologija: | 2.11 - Diplomsko delo |
Organizacija: | UL FRI - Fakulteta za računalništvo in informatiko |
Založnik: | [K. Križman] |
UDK: | 004.8:004.94(043.2) |
COBISS: | 102689027 |
Št. ogledov: | 101 |
Št. prenosov: | 17 |
Ocena: | 0 (0 glasov) |
Metapodatki: |
Sekundarni jezik: | Angleški jezik |
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Sekundarni naslov: | Comparison of two reinforcement learning algorithms in a car parking simulator |
Sekundarni povzetek: | Compare the DQN and DDPG reinforcement learning algorithms in a given car parking simulation environment. You may change the descriptions of states and actions within the limits of the simulator, to suit the given algorithm. Use existing implementations or develop your own. Report on the performance of both algorithms, their time complexity and their sensitivity to initial parameters. |
Sekundarne ključne besede: | computer;machine learning;simulation;game;car;computer science;diploma;Strojno učenje;Računalniška simulacija;Računalništvo;Univerzitetna in visokošolska dela; |
Vrsta dela (COBISS): | Diplomsko delo/naloga |
Študijski program: | 1000470 |
Konec prepovedi (OpenAIRE): | 1970-01-01 |
Komentar na gradivo: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Strani: | 41 str. |
ID: | 14808611 |