pyTORCS-docker
envpool
pyTORCS-docker | envpool | |
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4 | 3 | |
17 | 1,021 | |
- | 2.2% | |
0.0 | 4.2 | |
about 2 years ago | about 1 month ago | |
C++ | C++ | |
- | Apache License 2.0 |
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pyTORCS-docker
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?
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
sarus - OCI-compatible engine to deploy Linux containers on HPC environments.
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
GuiLite - ✔️The smallest header-only GUI library(4 KLOC) for all platforms
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
ecole - Extensible Combinatorial Optimization Learning Environments
gym-simplegrid - Simple Gridworld Gymnasium Environment
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
ViZDoom - Reinforcement Learning environments based on the 1993 game Doom :godmode:
ConcurrentDeque - Fast, generalized, implementation of the Chase-Lev lock-free work-stealing deque for C++17