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heisenberg5869/
dueling_dqn_cartpole

Name: dueling_dqn_cartpole
Availability: InStock

custom

reinforcement-learning

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Dueling DQN Agent for CartPole-v2

This repository contains a Dueling Deep Q-Network (Dueling DQN) agent trained on the CartPole-v2 environment. This model was implemented from scratch using PyTorch as part of an RL competition.

🚀 Performance

The agent is trained to balance the pole by applying forces to the cart.

Algorithm: Dueling DQN (Separates State-Value and Advantage functions)
Average Reward (100 episodes): 500.0 (Solved)
Implementation: From scratch (no high-level RL libraries)

🛠️ Hyperparameters

json

{
  "learning_rate": 1e-3,
  "gamma": 0.99,
  "epsilon_start": 1.0,
  "epsilon_final": 0.0001,
  "epsilon_decay_rate": 0.001,
  "buffer_size": 10000,
  "batch_size": 64,
  "target_update_freq": 0.005
}

heisenberg5869/dueling_dqn_cartpole

Dueling DQN Agent for CartPole-v2

🚀 Performance

🛠️ Hyperparameters

heisenberg5869/
dueling_dqn_cartpole