learning-to-drive-in-5-minutes
rl-baselines-zoo
| learning-to-drive-in-5-minutes | rl-baselines-zoo | |
|---|---|---|
| 1 | 2 | |
| 277 | 1,106 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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learning-to-drive-in-5-minutes
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TIL that in 1986 an astronomer trying to trace a 75 cent computer time discrepancy for 10 months eventually found a German hacker selling defense secrets to the KGB
You might already be using it, but if not I'd recommend checking out /u/araffin2 's GitHub repo https://github.com/araffin/learning-to-drive-in-5-minutes
rl-baselines-zoo
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Agent trains great with PPO but terrible with SAC --> Advice for Hyperparameters
Take a look at these tuned sets of hyperparameters for various problems in PPO and SAC. The batch sizes are WAY smaller regardless of the problem. Your initial learning rate may also be too high.
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How do I convert zoo / gym trained models to TensorFlow Lite or PyTorch TorchScript?
https://github.com/araffin/rl-baselines-zoo (TensorFlow based, using https://github.com/hill-a/stable-baselines)
What are some alternatives?
stable-baselines3-contrib - Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
stable-baselines - Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
rl-trained-agents - A collection of pre-trained RL agents using Stable Baselines3
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
pytorch-blender - :sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
gym - A toolkit for developing and comparing reinforcement learning algorithms.