1. What are two alternative algorithms to reinforcement learning for solving sequential decision-making problems?
2. What are the processes that give birth to new individuals in evolutionary algorithms?
3. What is the source of inspiration for evolutionary algorithms such as genetic algorithms?
4. How does CMA-ES evolve evolution strategies?
5. What's one advantage and one disadvantage of evolution strategies?
6. What's the trick that's used in the Evolution Strategies as a Scalable Alternative to Reinforcement Learning paper to reduce the variance?