README.md

---
tags:
- reinforcement-learning
- deep-reinforcement-learning
- MontezumaRevengeNoFrameskip-v4
- RND
- CNN
model-index:
- name: RND-MontezumaRevengeNoframeSkip-v4
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: MontezumaRevengeNoFrameskip-v4
      type: MontezumaRevengeNoFrameskip-v4
    metrics:
    - type: mean_reward
      value: 550.00 +/- 986.15
      name: mean_reward
      verified: false
---

# **RND with CNN** Agent playing **MontezumaRevengeNoFrameskip-v4**
This is a trained model of a **RND-CNN** agent playing **MontezumaRevengeNoFrameskip-v4** .
To learn to use this model and train yours check this notebook on kaggle: https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5-rnd-montezuma-mario-bros

## Codes

Github repos(Give a star if found useful):
  * https://github.com/hishamcse/DRL-Renegades-Game-Bots
  * https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots
  * https://github.com/hishamcse/Robo-Chess

Kaggle Notebook:
  * https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-unit-5-rnd-montezuma-mario-bros