Arena

Reinforcement learning streamlined with RLOps.

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10x faster training with the open-source AgileRL framework

Single-agent and Multi-agent Support

On-policy, off-policy, offline, multi-agent and contextual multi-armed bandit reinforcement learning with unmatched speed and state-of-the-art performance

Evolutionary Hyperparameter Optimization

Achieve automatic convergence on optimal performance in a single training run through hyperparameter and neural network evolution

Distributed Training

Train even faster by taking full advantage of your entire compute stack for online and offline reinforcement learning with multi-GPU support

Hierarchical Skills

Teach agents to solve complex problems by breaking down tasks into smaller, learnable sub-tasks with the AgileRL Skills wrapper

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