takuseno/d3rlpy
An offline deep reinforcement learning library for training agents using pre-collected datasets.
Not currently ranked — collecting fresh signals.
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d3rlpy is a Python library for deep reinforcement learning that supports both offline and online training. It provides implementations of state-of-the-art offline RL algorithms for scenarios where online interaction is not feasible, such as robotics and medical applications. The library offers an intuitive API and is built on PyTorch.
Frequently asked
- What is takuseno/d3rlpy?
- An offline deep reinforcement learning library for training agents using pre-collected datasets.
- Is d3rlpy open source?
- Yes — takuseno/d3rlpy is open source, released under the MIT license.
- What language is d3rlpy written in?
- takuseno/d3rlpy is primarily written in Python.
- How popular is d3rlpy?
- takuseno/d3rlpy has 1.7k stars on GitHub.
- Where can I find d3rlpy?
- takuseno/d3rlpy is on GitHub at https://github.com/takuseno/d3rlpy.