Implement ERL-Inspired Learning Algorithms for Small Action Policies

[ctava-msft]

Summary

Evaluate evolutionary and episode reinforcement learning approaches for small discrete action spaces.

Goals
Compare REINFORCE
Compare evolutionary methods
Compare hybrid methods
Deliverables
Benchmark suite
Experimental results
Recommendations
Acceptance Criteria
Research completed
Benchmark data published
Recommended algorithm documented