matplotlibcpp17
envpool
matplotlibcpp17 | envpool | |
---|---|---|
2 | 3 | |
58 | 1,021 | |
- | 2.2% | |
3.2 | 4.2 | |
7 months ago | about 1 month ago | |
C++ | C++ | |
MIT License | Apache License 2.0 |
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matplotlibcpp17
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Anyone used matplotlibcpp17?
Link to library : https://soblin.github.io/matplotlibcpp17/
- Show HN: Matplotlibcpp17 – An alternative to matplotlibcpp with more features
envpool
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How do I improve my SB3 PPO on an EnvPool environment
I am looking to improve the overall performance as well as optimize the wall clock time. I slightly modified the code to develop a SB3 wrapper for envpool from here.
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[D] Adding a new RL environment to envpool
Envpool provides high parallelization of RL environments. Unfortunately, there are still many environments that are not supported by them. One of them is FrankaKitchen of D4RL, a library for offline RL.
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[R] EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Code for https://arxiv.org/abs/2206.10558 found: https://github.com/sail-sg/envpool
What are some alternatives?
PEGTL - Parsing Expression Grammar Template Library
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
nanobind - nanobind: tiny and efficient C++/Python bindings
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
compile-time-regular-expressions - Compile Time Regular Expression in C++
ecole - Extensible Combinatorial Optimization Learning Environments
Magic Enum C++ - Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
uvw - Header-only, event based, tiny and easy to use libuv wrapper in modern C++ - now available as also shared/static library!
ViZDoom - Reinforcement Learning environments based on the 1993 game Doom :godmode: