rl_games
Practical_RL
| rl_games | Practical_RL | |
|---|---|---|
| 2 | 2 | |
| 744 | 5,762 | |
| - | 1.3% | |
| 5.3 | 6.0 | |
| 16 days ago | 10 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | The Unlicense |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rl_games
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Exporting a RL Policy From Isaac Gym for Dofbot
Source Example: https://github.com/Denys88/rl_games/blob/master/notebooks/train_and_export_onnx_example_continuous.ipynb
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V-MPO - what do you think
I tried to reproduce it in my library you can take a look at implementation (https://github.com/Denys88/rl_games/pull/177) you can find even a few configs - moonlander and cartpole works good..
Practical_RL
- [D] implementation of MCTS in Python
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Alternatives to OpenAI’s spinning up?
there is this great github repo where there are lectures and other resources, and have a week by week jupyter notebooks where they explain and code with homeworks at the very end of it. is basics and deepRL, but just dqn and DDPG/ppo but i think will give you good start in the topic for later star working on your own.
What are some alternatives?
OmniIsaacGymEnvs-DofbotReacher - Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Excolligere - Forked Repo of J3soon's OmniIsaacGym-DofbotReacher
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
awesome-rl - Reinforcement learning resources curated
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
redisai-examples - RedisAI showcase
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos