garage
Metaworld
| garage | Metaworld | |
|---|---|---|
| 5 | 2 | |
| 1,813 | 1,108 | |
| 0.4% | 1.6% | |
| 0.0 | 6.2 | |
| almost 1 year ago | 9 days ago | |
| Python | Python | |
| MIT License | 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.
garage
- Are there any follow-up studies of RL^2 algorithms?
- Which python library to pick for RL as a beginner
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Actor-critic reinforce-style gradient with entropy regularization vs soft actor-critic
max: https://github.com/rlworkgroup/garage/blob/62bbc5cec70480e3bf2039cea7f130befecbef10/src/garage/torch/algos/vpg.py#L158 regularized: https://github.com/rlworkgroup/garage/blob/62bbc5cec70480e3bf2039cea7f130befecbef10/src/garage/torch/algos/vpg.py#L343
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Do you have any recommendation on a Reinforcement Learning library for Python?
TF-Agents and Garage look interesting and would be my first stop. Unfortunately I picked OpenAI baselines (not stable baselines) but it isn't supported any more.
- How to do unit testing for reinforcement learning
Metaworld
-
Looking for Maintainers/Contributors for Metaworld
Right now we're working on doing a big push to dramatically overhaul the Metaworld library (https://github.com/Farama-Foundation/Metaworld), including their API, adding documentation, updating the MuJoCo version, and other massive quality of life features. If anyone would be interested in contributing to this work (and getting your name on an upcoming Metaworld 2.0 paper), please contact Reggie at [email protected].
- MetaWorld has joined the Farama Foundation
What are some alternatives?
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
tianshou - An elegant PyTorch deep reinforcement learning library.
metaworld - Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning [Moved to: https://github.com/Farama-Foundation/Metaworld]
myosuite - MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
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).
nn-template - Generic template to bootstrap your PyTorch project.
rl_lib - Series of deep reinforcement learning algorithms 🤖
agents - TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.