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ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library
- yanglet 6y agoLearn to implement deep reinforcement learning algorithms in 24 hours. The ElegantRL library is featured with “elegant” in the following aspects: Lightweight: core codes have less than 1,000 lines, e.g., tutorial. Efficient: the performance is comparable with Ray RLlib. Stable: more stable than Stable Baseline 3. ElegantRL supports state-of-the-art DRL algorithms, including discrete and continuous ones, and provides user-friendly tutorials in Jupyter notebooks. The ElegantRL implements DRL algorithms under the Actor-Critic framework, where an Agent (a.k.a, a DRL algorithm) consists of an Actor network and a Critic network. Due to the completeness and simplicity of code structure, users are able to easily customize their own agents.
- sanxiyn 6y agoYou may want to delete .DS_Store files from the repository.