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Project developed as part of the Udacity Deep Reinforcement Learning Nanodegree Program
Create and train a double-jointed arm agent that is able to maintain its hand in contact with a moving target
DQN with Prioritized Experience Replay, DDPG for Continous Environments, DDPG for Multi-Agent Reinforcement Learning
Train the Banana Collector using Deep Reinforcement Learning with Unity Environment
Train the model using actor-critic method of deep reinforcement learning with Reacher Environment in the Unity Agents
Train the model using Multi Agent DDPG of deep reinforcement learning with Tennis Environment in the Unity Agents