pb-deepRL 0.1.dev27

All the utils/helper functions realted to Deep RL is in this package.

Reinforcement-Learning

Fail Fast, Learn Faster

This repository contains the implementation and notes of different Reinforcement Learning Algorithms and techniques I have learned throughout time.

Each algorithm uses GYM environments gym environements.

Algorithms

1. Model based learning - Dynamic Programming
   • Policy Iteration
   • Value Iteration
2. Model free learning
   • Monte Carlo
     • Monte Carlo
     • Online Monte Carlo
     • Monte Carlo with decay scheduler
   • SARSA
   • Q-learning
   • TD_N
3. Deep Reinforcement Learning
   • Value Based
     • Deep Q learning