Reinforcement Learning.

Encyclopedia of Algorithms(2016)

引用 23|浏览35
暂无评分
摘要
• For modeling: Chapter 9, Dayan & Abbott, “Theoretical Neuroscience” (but v mathematical); • For dopamine: Schultz W. 2002 Getting formal with dopamine and reward. Neuron 36: 241-63. • For algorithms: Sutton RS & Barto AG “Reinforcement learning: An Introduction” • Discuss formal models of classical and instrumental conditioning in animals • Describe how reinforcement learning (e.g. using the temporal difference learning rule) solves the ‘temporal credit assignment’ problem in learning to act from infrequent reward. • Describe how the involvement of neuromodulators, such as dopamine, in reward and punishment learning is included in these models.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要