| chainer/chainerrl |
1,140 |
|
0 |
0 |
over 4 years ago |
0 |
|
65 |
mit |
Python |
| ChainerRL is a deep reinforcement learning library built on top of Chainer. |
| off99555/machine-learning-curriculum |
1,065 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| :computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list |
| sisl/Chimp |
72 |
|
0 |
0 |
about 9 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| General purpose framework for deep reinforcement learning |
| icoxfog417/techcircle_openai_handson |
59 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
mit |
Python |
| Tech-Circle OpenAI Handson Repository |
| nutszebra/neural_architecture_search_with_reinforcement_learning_appendix_a |
55 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer |
| fukuta0614/chainer-SeqGAN |
34 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient |
| inoryy/Deep-RL-Bootcamp-Labs |
32 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Solutions to the Deep RL Bootcamp labs |
| alokwhitewolf/Visual-Attention-Model |
24 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Python |
| Chainer implementation of Deepmind's Visual Attention Model paper |
| shionhonda/IaGo |
10 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
|
Python |
| Othello AI (AlphaGo's PV-MCTS algorithm) |
| icoxfog417/chainer_pong |
9 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
mit |
Python |
| learn pong by chainer |
