Tensorflow Rl Pong
Pong AI trained using policy gradient-based reinforcement learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Btgym | 825 | 3 years ago | 11 | lgpl-3.0 | Python | |||||
| Scalable, event-driven, deep-learning-friendly backtesting library | ||||||||||
| Tensorflow Reinforce | 477 | 6 years ago | 7 | mit | Python | |||||
| Implementations of Reinforcement Learning Models in Tensorflow | ||||||||||
| Trpo | 315 | 4 years ago | 4 | mit | Jupyter Notebook | |||||
| Trust Region Policy Optimization with TensorFlow and OpenAI Gym | ||||||||||
| Openai_lab | 314 | 6 years ago | mit | Python | ||||||
| An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras. | ||||||||||
| Text_summurization_abstractive_methods | 310 | 4 years ago | 12 | Jupyter Notebook | ||||||
| Multiple implementations for abstractive text summurization , using google colab | ||||||||||
| Seqgan Pytorch | 178 | 5 years ago | 10 | Python | ||||||
| A implementation of SeqGAN in PyTorch, following the implementation in tensorflow. | ||||||||||
| Deep Algotrading | 145 | 6 years ago | mit | Jupyter Notebook | ||||||
| A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading | ||||||||||
| Show Adapt And Tell | 142 | 5 years ago | 5 | mit | Python | |||||
| Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017 | ||||||||||
| Deeprl_algorithms | 112 | 3 years ago | 1 | gpl-3.0 | Python | |||||
| DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC) | ||||||||||
| Reinforcement_learning | 89 | 6 years ago | Python | |||||||
| 강화학습에 대한 기본적인 알고리즘 구현 | ||||||||||
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