ConcurrentDeque
envpool
| ConcurrentDeque | envpool | |
|---|---|---|
| 1 | 3 | |
| 135 | 1,021 | |
| - | 2.2% | |
| 0.0 | 4.2 | |
| over 2 years ago | about 1 month ago | |
| C++ | C++ | |
| Mozilla Public License 2.0 | Apache License 2.0 |
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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.
ConcurrentDeque
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?
ModernCppStarter - 🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
readerwriterqueue - A fast single-producer, single-consumer lock-free queue for C++
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
CPURasterizer - CPU Based Rasterizer Engine
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
parallel-dfs-dag - A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
ecole - Extensible Combinatorial Optimization Learning Environments
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
ViZDoom - Reinforcement Learning environments based on the 1993 game Doom :godmode: