53 lines
2.6 KiB
Markdown
53 lines
2.6 KiB
Markdown
# dreamerv3-torch
|
|
Pytorch implementation of [Mastering Diverse Domains through World Models](https://arxiv.org/abs/2301.04104v1). DreamerV3 is a scalable algorithm that outperforms previous approaches across various domains with fixed hyperparameters.
|
|
|
|
## Instructions
|
|
|
|
### Method 1: Manual
|
|
|
|
Get dependencies with python 3.9:
|
|
```
|
|
pip install -r requirements.txt
|
|
```
|
|
Run training on DMC Vision:
|
|
```
|
|
python3 dreamer.py --configs dmc_vision --task dmc_walker_walk --logdir ./logdir/dmc_walker_walk
|
|
```
|
|
Monitor results:
|
|
```
|
|
tensorboard --logdir ./logdir
|
|
```
|
|
### Method 2: Docker
|
|
|
|
Please refer to the Dockerfile for the instructions, as they are included within.
|
|
|
|
## Benchmarks
|
|
So far, the following benchmarks can be used for testing.
|
|
| Environment | Observation | Action | Budget | Description |
|
|
|-------------------|---|---|---|-----------------------|
|
|
| [DMC Proprio](https://github.com/deepmind/dm_control) | State | Continuous | 500K | DeepMind Control Suite with low-dimensional inputs. |
|
|
| [DMC Vision](https://github.com/deepmind/dm_control) | Image | Continuous |1M| DeepMind Control Suite with high-dimensional images inputs. |
|
|
| [Atari 100k](https://github.com/openai/atari-py) | Image | Discrete |400K| 26 Atari games. |
|
|
| [Crafter](https://github.com/danijar/crafter) | Image | Discrete |1M| Survival environment to evaluates diverse agent abilities.|
|
|
| [Minecraft](https://github.com/minerllabs/minerl) | Image and State |Discrete |100M| Vast 3D open world.|
|
|
| [Memory Maze](https://github.com/jurgisp/memory-maze) | Image |Discrete |100M| 3D mazes to evaluate RL agents' long-term memory.|
|
|
|
|
## Results
|
|
#### DMC Proprio
|
|
|
|
#### DMC Vision
|
|
|
|
#### Atari 100k
|
|
|
|
|
|
#### Crafter
|
|
<img src="https://github.com/NM512/dreamerv3-torch/assets/70328564/a0626038-53f6-4300-a622-7ac257f4c290" width="300" height="150" />
|
|
|
|
## Acknowledgments
|
|
This code is heavily inspired by the following works:
|
|
- danijar's Dreamer-v3 jax implementation: https://github.com/danijar/dreamerv3
|
|
- danijar's Dreamer-v2 tensorflow implementation: https://github.com/danijar/dreamerv2
|
|
- jsikyoon's Dreamer-v2 pytorch implementation: https://github.com/jsikyoon/dreamer-torch
|
|
- RajGhugare19's Dreamer-v2 pytorch implementation: https://github.com/RajGhugare19/dreamerv2
|
|
- denisyarats's DrQ-v2 original implementation: https://github.com/facebookresearch/drqv2
|