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Implementations of Reinforcement Learning Algorithms and Deep Learning Models

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aihaven

Implementations of Reinforcement Learning Algorithms and Deep Learning models

Frameworks used : PyTorch

Neural Network Architectures

  • Graph Convolutional Networks (GCN)

Reinforcement Learning Algorithms

  • Vanilla Policy Gradient (VPG)
  • Q-Learning
  • Deep Q Network (DQN)
  • Advantage Actor Critic (A2C)
  • Deep Deterministic Policy Gradient (DDPG)

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