shangeth / Lunar-Lander-Deep-RL

Deep Q network, DDQN, Dueling DQN for Lunar Lander Environment.

Repository from Github https://github.comshangeth/Lunar-Lander-Deep-RLRepository from Github https://github.comshangeth/Lunar-Lander-Deep-RL

Lunar Lander DRL

Environment

Reinforcement Learning Approaches

  • Discrete space - Traditional RL methods like MC, TD

  • Continuous Space

    • Discritize the space

      • Grid
      • Tile Coding
      • Coarse Coding
    • Continuous Function Approximation

      • Linear Approximation
      • kernel Approximation
      • Non-Linear Approximation

Non-Linear Approximation

Deep Q Network - Paper

Double Deep Q Network - Paper

Prioritized Experience Replay - Paper

Dueling Deep Q Network - Paper

About

Deep Q network, DDQN, Dueling DQN for Lunar Lander Environment.


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