Excolligere
rl_games
| Excolligere | rl_games | |
|---|---|---|
| 1 | 2 | |
| 0 | 771 | |
| - | - | |
| 10.0 | 5.2 | |
| about 1 year ago | 19 days ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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Excolligere
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..
What are some alternatives?
OmniIsaacGymEnvs-DofbotReacher - Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Practical_RL - A course in reinforcement learning in the wild
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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, ... 🧠