Simulating the Future of Traffic with RL w/ Cathy Wu - #362
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Designing Effective Reinforcement Learning Scenarios
This chapter explores the complexities of designing reinforcement learning tasks within a Markov decision process framework, emphasizing the critical components of states, actions, rewards, and network structure. It also highlights the trade-offs faced in optimizing vehicle performance while considering human and environmental factors.
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