Reinforcement Learning Algorithms Study

This repository provides basic abstractions and tools to study reinforcement learning algorithms:

• Environment
• Agent
• Policy

and set of testing tools to validate and compare results.

Explored problems

• K-armed bandit: non-deterministic, stationary and non-stationery problems solved using epsilon greedy agent
• Frozen Lake: non-deterministic, stationary board-like problem