Popular-RL-Algorithms
jaxrl
| Popular-RL-Algorithms | jaxrl | |
|---|---|---|
| 1 | 2 | |
| 983 | 576 | |
| - | - | |
| 4.7 | 0.0 | |
| 5 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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Popular-RL-Algorithms
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What does LSTM do (rather than FC Layers) to SAC and TD3 and when to use them?
Here is the example: https://github.com/quantumiracle/Popular-RL-Algorithms
jaxrl
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JAX in Reinforcement Learning
Have you looked at this repo or this repo ?
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CleanRL now has a DDPG + JAX implementation roughly 2.5-4x faster than DDPG + PyTorch
https://github.com/ikostrikov/jaxrl would be another great reference implementation. Probably you want to also checkout the docs for jax, flax, and optax.
What are some alternatives?
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
sbx - SBX: Stable Baselines Jax (SB3 + Jax)
Deep-Reinforcement-Learning-Algorithms - 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
jaxrl_m - Skeleton for scalable and flexible Jax RL implementations
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023