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2048-decision-theory

2048 game simulation for reinforcement learning on decision theory course.

2048

  • Moves: slide to left/r/u/d

  • End state: all cells are full and there are no possibles moves

  • OR reaching 2048 in one cell

  • Random Agent: Generates blocks (power of 2)

  • AI agent: do the valid moves

  • Rewards: the created number out after slide

  • Start with 3x3 and target 64

Remaining:

  • get_all_possible_actions
  • get_all_possible_states
  • _calculate_transition_prob

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