Trpo Tensorflow2
TRPO Implementation in Tensorflow 2.0 for Reinforcement Learning Project @ Sapienza
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine Learning Is All You Need | 337 | 8 months ago | Python | |||||||
| 🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need! | ||||||||||
| Tensorflow Rl | 173 | 6 years ago | 9 | apache-2.0 | Python | |||||
| Implementations of deep RL papers and random experimentation | ||||||||||
| Gail Tf | 167 | 6 years ago | 3 | mit | Python | |||||
| Tensorflow implementation of generative adversarial imitation learning | ||||||||||
| Deeprl Tensorflow2 | 139 | 4 years ago | apache-2.0 | Python | ||||||
| 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2 | ||||||||||
| 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) | ||||||||||
| Run Skeleton Run | 81 | 5 years ago | 1 | mit | Python | |||||
| Reason8.ai PyTorch solution for NIPS RL 2017 challenge | ||||||||||
| Rltf | 75 | 5 years ago | mit | Python | ||||||
| Reinforcement Learning implementations and research prototyping in TensorFlow | ||||||||||
| Trpo | 17 | 7 years ago | Python | |||||||
| trust region policy optimization base on gym and tensorflow, can run in distribution mode | ||||||||||
| Reinforcement_learning_ppo_rnd | 14 | 3 years ago | 2 | gpl-3.0 | Python | |||||
| Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation | ||||||||||
| Tensorl | 12 | 4 years ago | Python | |||||||
| Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines. | ||||||||||
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