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This repository contains my assignment solutions for the Deep Reinforcement Learning course (430.729_003) offered by Seoul National University (Spring 2020).

Jupyter Notebook 96.94% Python 2.88% Shell 0.01% HTML 0.17%
deep-reinforcement-learning deep-deterministic-policy-gradient deep-q-learning imitation-learning proximal-policy-optimization

deep-reinforcement-learning's Introduction

Deep Reinforcement Learning - Assignment Solutions

This repository contains my assignment solutions for the Deep Reinforcement Learning course (430.729_003) offered by Seoul National University (Spring 2020).

The algorithms for the assignments are implemented using TensorFlow in Python.

Assignment1:

Environment Setup, Multi-Layer Perceptron (MLP)

Assignment2:

Imitation Learning

Assignment3:

Deep Q Learning

Assignment4:

Proximal Policy Optimization (PPO)

Assignment5:

Deep Deterministic Policy Gradient (DDPG)

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