garage
rl_lib
| garage | rl_lib | |
|---|---|---|
| 5 | 2 | |
| 1,813 | 27 | |
| 0.4% | - | |
| 0.0 | 0.0 | |
| almost 1 year ago | almost 3 years ago | |
| Python | Jupyter Notebook | |
| MIT License | - |
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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
rl_lib
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How to do unit testing for reinforcement learning
tests - link
What are some alternatives?
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
FinRL - FinRL: Financial Reinforcement Learning. 🔥
Metaworld - Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
metaworld - Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning [Moved to: https://github.com/Farama-Foundation/Metaworld]
FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 - Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star. [Moved to: https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020]
nn-template - Generic template to bootstrap your PyTorch project.
FinRL-Trading - For trading. Please star.
agents - TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Deep-Reinforcement-Learning-Algorithms - 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.