sbx
SBX: Stable Baselines Jax (SB3 + Jax) (by araffin)
RL-X
A framework for Reinforcement Learning research. (by nico-bohlinger)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
sbx
Posts with mentions or reviews of sbx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
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Stable-Baselines3 v2.0: Gymnasium Support
Stable-Baselines Jax (SBX): https://github.com/araffin/sbx
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JAX in Reinforcement Learning
If you want to learn from examples, you can take a look at clean rl or stable baselines jax (sbx): https://github.com/araffin/sbx
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How can I speed up SAC?
You mean wallclock time or sample efficiency? For the former, you can take a look at Jax implementation like: https://github.com/araffin/sbx (SB3 + Jax)
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Stable-Baselines3 v1.8 Release
The Hindsight Experience Replay (HER) buffer is compatible with all off-policy reinforcement learning algorithms. (and also compatible with the Jax version of SB3: https://github.com/araffin/sbx/pull/11).
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JAX or PyTorch?
I haven't used JAX yet but quite excited about it - Little plug for SBX https://github.com/araffin/sbx which seems quite clean!
RL-X
Posts with mentions or reviews of RL-X.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-24.
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How can I speed up SAC?
Nice! I also have an implementation in Flax if you want to check it out: https://github.com/nico-bohlinger/RL-X
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[D] JAX vs PyTorch in 2023
I have a lot of implementations of RL algorithms with Flax in my RL library. Maybe looking at the code could help you. https://github.com/nico-bohlinger/RL-X
- RL-X, my repository for RL research
What are some alternatives?
When comparing sbx and RL-X you can also consider the following projects:
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
jaxrl - JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
jaxrl_m - Skeleton for scalable and flexible Jax RL implementations
fselect - Find files with SQL-like queries
Study-Time-Tally - Track your study hours.
Terminal-Video-Player - A program that can display video in the terminal using ascii characters
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.