| danijar/crafter |
330 |
|
0 |
0 |
about 2 years ago |
51 |
October 31, 2023 |
4 |
mit |
Python |
| Benchmarking the Spectrum of Agent Capabilities |
| vincentberaud/Minecraft-Reinforcement-Learning |
27 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft |
| tesslerc/H-DRLN |
23 |
|
0 |
0 |
about 9 years ago |
0 |
|
0 |
mit |
Lua |
| Hierarchical Deep RL Network |
| leamoon/StochasticNet |
19 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| Nerual Network of Stochastic Computing for MNIST Recognition |
| evhub/minecraft-deep-learning |
15 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Makefile |
| Deep reinforcement learning in Minecraft using gym-minecraft and keras-rl. |
| BlueDuckYT/deepwaters |
10 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
Java |
| An underwater dimension inspired by Subnautica. |
| ndrwmlnk/critic-guided-segmentation-of-rewarding-objects-in-first-person-views |
10 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| Critic Guided Segmentation of Rewarding Objects in First-Person Views. Explanatory video: |
| louis030195/prismarine-gym |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
TypeScript |
| train minecraft agents using reinforcement learning (inspired by https://gym.openai.com/) |
