For questions on reinforcement learning. Use RLlib to build, train, and scale RL models with built-in algorithms and distributed training support.
RLlib is an open source library for reinforcement learning (RL), offering support for production-level, highly scalable, and fault-tolerant RL workloads, while maintaining simple and unified APIs for a large variety of industry applications.
Whether training policies in a multi-agent setup, from historic offline data, or using externally connected simulators, RLlib offers simple solutions for each of these autonomous decision making needs and enables you to start running your experiments within hours.
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