---
tags:
- ALE/KungFuMaster-v5
- A3C
- ICM
- reinforcement-learning
- atari
- ALE/KungFuMaster-v5
- KungFuMaster-v5
model-index:
- name: A3C-ICM-KungFuMaster-v5
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: ALE/KungFuMaster-v5
      type: ALE/KungFuMaster-v5
    metrics:
    - type: mean_reward
      value: 5750.00 +/- 1608.88
      name: mean_reward
      verified: false
---

# **A3C with ICM** Agent playing **ALE/KungFuMaster-v5**
This is a trained model of a **A3C-ICM** agent playing **ALE/KungFuMaster-v5** .


## Codes

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

Kaggle Notebook:
  * https://www.kaggle.com/code/syedjarullahhisham/drl-extra-personal-adv-drl-a3c-icm-kungfu-master


# Hyperparameters

```
"envid": "ALE/KungFuMaster-v5",
"learningrate": 0.0002,
"tau": 1.0,
"num_local_step": 50,
"num_global_step": 380000,
"gamma": 0.99,
"lambda": 0.1,
"eta": 0.2,
"beta": 0.2,
"max_actions": 500
```