This webinar’s focus is not on teaching deep reinforcement learning, but on how AnyLogic can be used to build simulated training environments and testbeds for use in artificial intelligence.
- Creating observation and action functions that align with desired business outcomes
- Creating and testing DRL reward functions
- Running parallel experiments and evaluating DRL progress
- Using DRL results to validate model assumptions and identify possible corner cases