envpool
policy-adaptation-during-deployment
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| envpool | policy-adaptation-during-deployment | |
|---|---|---|
| 3 | 1 | |
| 1,017 | 109 | |
| 3.5% | - | |
| 4.2 | 1.8 | |
| about 1 month ago | over 3 years ago | |
| C++ | Python | |
| Apache License 2.0 | - |
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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
policy-adaptation-during-deployment
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Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
Code: https://github.com/nicklashansen/policy-adaptation-during-deployment
What are some alternatives?
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
thread-pool - BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
ecole - Extensible Combinatorial Optimization Learning Environments
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
es_pytorch - High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters