- ElegantRL VS stable-baselines3
- ElegantRL VS Ray
- ElegantRL VS minimalRL
- ElegantRL VS tianshou
- ElegantRL VS pytorch-ddpg
- ElegantRL VS Deep-Reinforcement-Learning-Algorithms
- ElegantRL VS machin
- ElegantRL VS pomdp-baselines
- ElegantRL VS friendup
- ElegantRL VS Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
ElegantRL Alternatives
Similar projects and alternatives to ElegantRL
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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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.
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machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
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friendup
FriendOS is a free web based platform that runs in your browser. It allows you to work and play, collaboratively, across devices.
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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]
ElegantRL reviews and mentions
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[R] ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library
The ElegantRL library is featured with “elegant” in the following aspects:
Stats
AI4Finance-Foundation/ElegantRL is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of ElegantRL is Python.