Reinforcement learning in AI involves a trial-and-error process to improve models by focusing on sequences of moves that lead to wins, optimizing rewards and outcomes.
AI models like Pluribus and AlphaGo, trained through reinforcement learning, have defeated top human players in games, showcasing the effectiveness of this approach.
Collection
[
|
...
]