StepNeverStop/RLs
A PyTorch-based reinforcement learning framework implementing single and multi-agent RL algorithms for training agents in Unity and Gym environments.
Not currently ranked — collecting fresh signals.
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This repository provides implementations of state-of-the-art and classic reinforcement learning algorithms for training agents. It supports both single-agent and multi-agent scenarios, integrating with Unity ML-Agents and OpenAI Gym as environment backends. The framework is designed for stable, production-ready RL implementations while enabling rapid prototyping of new algorithms.
Frequently asked
- What is StepNeverStop/RLs?
- A PyTorch-based reinforcement learning framework implementing single and multi-agent RL algorithms for training agents in Unity and Gym environments.
- Is RLs open source?
- Yes — StepNeverStop/RLs is open source, released under the Apache-2.0 license.
- What language is RLs written in?
- StepNeverStop/RLs is primarily written in Python.
- How popular is RLs?
- StepNeverStop/RLs has 452 stars on GitHub.
- Where can I find RLs?
- StepNeverStop/RLs is on GitHub at https://github.com/StepNeverStop/RLs.