Multi_task_rl
Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch A3c | 289 | 4 years ago | 6 | mit | Python | |||||
| Simple A3C implementation with pytorch + multiprocessing | ||||||||||
| Atari Pong | 71 | 8 years ago | 1 | Python | ||||||
| Neural Networks For Playing Pong | ||||||||||
| Geneticalgo_openaigymcartpole | 15 | 6 years ago | Python | |||||||
| Implementation of Genetic Algorithm to balance inverted pendulum in OpenAI gym environment | ||||||||||
| Eant2 | 11 | 2 years ago | 2 | gpl-3.0 | Rust | |||||
| EANT2 made in Rust. | ||||||||||
| Drlbox | 9 | 5 years ago | 1 | gpl-3.0 | Python | |||||
| Interfacing RL agents with user-definable neural networks and OpenAI-gym environments. | ||||||||||
| Neat | 7 | 4 years ago | mit | Python | ||||||
| Evolving Neural Networks Through Augmenting Topologies | ||||||||||
| Interactive Learning With Corrective Feedback For Policies Based On Deep Neural Networks | 6 | 5 years ago | gpl-3.0 | Python | ||||||
| Code of the paper "Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks" ISER 2018. | ||||||||||
| Neural_networks_tutorial | 6 | 2 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| A series of notebook to learn Artificial Neural Networks | ||||||||||
| Multi_task_rl | 5 | 6 years ago | mit | Jupyter Notebook | ||||||
| Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow | ||||||||||
| Expydqn | 5 | 6 years ago | 1 | mit | Python | |||||
| An extensible framework for training Deep Q Networks built on Keras and gym. | ||||||||||
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