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Highlights

  • Pro

Organizations

@Team-UGD @CS-PingPing @ComPPing

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DevSlem/README.md

Profile 👋

University - Incheon National University
Blog - DevSlem Blog
E-mail - devslem12@gmail.com
LinkedIn - Jinyeong Park

Optimize my daily routine using reinforcement learning (Q-learning):

# take a step
S = "busy" # state
A = "play" in { "play", "work" } # action
S' = "boom" # next state
R = -100 # penalty

# learn from the experience
Q[S,A] += alpha * (R + gamma * max(Q[S',:]) - Q[S,A])

# but, still I don't want to work...
A' = "play" # next action

Tech Stack


Field

  • Reinforcement Learning (RL) 🔥
  • Machine Learning

Project

  • Back to the Dungeon: Unity 2D Platformer Shooting Game
  • AINE-DRL: Deep Reinforcement Learning Baseline Framework
  • Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Reward for Goal-directed Molecular Generation
  • Multiple Knapsack: Multiple Knapsack Optimization using Deep Reinforcement Learning with Transformer

Pinned Loading

  1. Mol-AIR Mol-AIR Public

    Molecular Reinforcement Learning with Adaptive Intrinsic Reward for Goal-directed Molecular Generation.

    Python 4 1

  2. multiple-knapsack multiple-knapsack Public

    Optimize multiple knapsack problem using reinforcement learning.

    Python 6

  3. AINE-DRL AINE-DRL Public

    AINE-DRL is a deep reinforcement learning (DRL) baseline framework. AINE means "Agent IN Environment".

    Python 7 2

  4. unity-move-tool unity-move-tool Public

    Unity editor position handle utility for the fields like Vector3, not GameObject.

    C# 9 1

  5. Team-UGD/back-to-the-dungeon-scripts Team-UGD/back-to-the-dungeon-scripts Public

    We share scripts used for "Back to The Dungeon" project.

    C# 2 2