DQN agent for VizDoom

This repo consists of various DQN agents trained for different scenarios of VizDoom.

Project Structure

• dqn_common: Common classes and functions for DQN, including DQNAgent, GameWrapper, ReplayBuffer, and process_frame
• scenarios: scenario files of VizDoom
• simpler_basic: DQN agent trained for simpler_basic.cfg
• deadly_corridor: DQN agent trained for deadly_corridor.cfg

Training & Evaluation

To train an agent for a specific scenario, cd into corresponding folder and run

python3 train.py

Similarly, to evaluate a trained agent, cd into that folder and run

python3 evaluate.py

For each agent, you can tweak the model architecture in model.py and parameters/hyper-parameters in params.py.