Implementation of core RL algorithms using Pytorch

• Implementation of Value Iteration and Policy iteration Algorithms.
• Implementation of basic algorithms in Reinforcement learning (such as Q-learning, First visit Monte Carlo, Deep Reinforcement learning algorithms) applied on Open AI environments such as cartpole, Acrobat and Bipedal Walker.