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ΠΠΈΠ΄Π΅ΠΎΠΊΡΡΡ Π‘ΡΡΠ½ΡΠΎΡΠ΄Π° ΠΏΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ Ρ ΠΏΠΎΠ΄ΠΊΡΠ΅ΠΏΠ»Π΅Π½ΠΈΠ΅ΠΌ, ΡΠΎΡΡΠΎΡΡΠΈΠΉ ΠΈΠ· 16 Π»Π΅ΠΊΡΠΈΡ,
ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅Π·Π°ΠΌΠ΅Π½ΠΈΠΌΡΠΌ ΡΠ΅ΡΡΡΡΠΎΠΌ Π΄Π»Ρ Π²ΡΠ΅Ρ , ΠΊΡΠΎ Ρ ΠΎΡΠ΅Ρ ΠΎΡΠ²ΠΎΠΈΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ - ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ, ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° Π±ΡΠ΄ΡΡΠ΅Π΅.
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Stanford CS234 I Reinforcement Learning I Spring 2024 I Emma Brunskill
To realize the dreams and impact of AI requires autonomous systems that learn to make good decisions. Reinforcement learning is one powerful paradigm for doi...
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