Study-Time-Tally
sbx
Study-Time-Tally | sbx | |
---|---|---|
2 | 5 | |
1 | 268 | |
- | - | |
2.8 | 6.6 | |
6 days ago | about 1 month ago | |
Python | Python | |
- | MIT License |
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.
Study-Time-Tally
-
Any motivating words for a failure student?
Set a goal of 100% with this https://github.com/SubaruSteve/Study-Time-Tally then think about how you did it. Then aim for 200%.
-
Students who studied last year, what are some tips and advice for first year students during lockdown?
Consider using this to track your hours https://github.com/SubaruSteve/Study-Time-Tally
sbx
-
Stable-Baselines3 v2.0: Gymnasium Support
Stable-Baselines Jax (SBX): https://github.com/araffin/sbx
-
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
-
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)
-
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).
-
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!
What are some alternatives?
ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
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
Terminal-Video-Player - A program that can display video in the terminal using ascii characters
RL-X - A framework for Reinforcement Learning research.
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.