论文标题
将竞争纳入竞争性游戏的强化学习中
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
论文作者
论文摘要
与社会推动者的加强学习的最新进展使我们能够在某些互动任务上实现人级的表现。但是，大多数交互式场景并不是最终目标的表现。取而代之的是，与人类互动时这些代理商的社会影响同样重要，在大多数情况下，从未正确探索过。这项预注册研究的重点是提供基于竞争社会影响的新型学习机制。我们的场景探索了不同的强化学习代理，与人类玩家一起玩竞争纸牌游戏。基于竞争竞争的概念，我们的分析旨在调查我们是否可以从人的角度改变对这些代理的评估。
Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks. However, most interactive scenarios do not have as end-goal performance alone; instead, the social impact of these agents when interacting with humans is as important and, in most cases, never explored properly. This preregistration study focuses on providing a novel learning mechanism based on a rivalry social impact. Our scenario explored different reinforcement learning-based agents playing a competitive card game against human players. Based on the concept of competitive rivalry, our analysis aims to investigate if we can change the assessment of these agents from a human perspective.
