Seqgan
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Seqgan | 1,801 | 5 years ago | 33 | Python | ||||||
| Implementation of Sequence Generative Adversarial Nets with Policy Gradient | ||||||||||
| Drl | 1,542 | a year ago | 37 | other | ||||||
| Deep Reinforcement Learning | ||||||||||
| Stock_market_reinforcement_learning | 630 | 7 years ago | 16 | Python | ||||||
| This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient. | ||||||||||
| Ddpg Keras Torcs | 595 | 6 years ago | 54 | Python | ||||||
| Using Keras and Deep Deterministic Policy Gradient to play TORCS | ||||||||||
| Multihopkg | 252 | a year ago | 8 | bsd-3-clause | Jupyter Notebook | |||||
| Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout | ||||||||||
| Pytorch Maddpg | 231 | 6 years ago | 1 | Python | ||||||
| A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient) | ||||||||||
| Pytorch Ddpg | 207 | 6 years ago | 2 | apache-2.0 | Python | |||||
| Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch | ||||||||||
| Phasic Policy Gradient | 175 | 2 years ago | 6 | mit | Python | |||||
| Code for the paper "Phasic Policy Gradient" | ||||||||||
| Openai Cartpole | 129 | 6 years ago | 8 | Python | ||||||
| random search, hill climbing, policy gradient | ||||||||||
| Reinforcement_learning | 89 | 6 years ago | Python | |||||||
| 강화학습에 대한 기본적인 알고리즘 구현 | ||||||||||
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