---
tags:
- SuperMarioBros-v0
- RND
- CNN
- reinforcement-learning
- custom-implementation
- atari
- SuperMarioBros-v0
model-index:
- name: RND-SuperMarioBros-v0
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: SuperMarioBros-v0
      type: SuperMarioBros-v0
    metrics:
    - type: mean_reward
      value: 2502.70 +/- 418.86
      name: mean_reward
      verified: false
---

  # **RND with CNN** Agent playing **SuperMarioBros-v0**
  This is a trained model of a **RND-CNN** agent playing **SuperMarioBros-v0** .
  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-super-mario-bros

  # HyperParameters:

  ```
  "trainmethod": "RND",
  "envid": "SuperMarioBros-v0",
  "maxstepperepisode": 18000,
  "learningrate": 0.0001,
  "numenv": 128,
  "numstep": 128,
  "gamma": 0.999,
  "intgamma": 0.99,
  "lambda": 0.95,
  "usegae": true,
  "clipgradnorm": 0.5,
  "entropy": 0.001,
  "epoch": 4,
  "minibatch": 4,
  "ppoeps": 0.1,
  "extcoef": 5.0,
  "intcoef": 1.0,
  "stickyaction": true,
  "actionprob": 0.25,
  "lifedone": false,
  "obsnormstep": 50
  ```