Shypd.aiThe largest open index of AI toolsrlpyt is an open-source deep reinforcement learning library in PyTorch, offering modular and optimized implementations of common RL algorithms. It provides unified infrastructure for policy gradient, deep-q learning, and q-function policy gradient, supporting both serial and parallel experiments.
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rlpyt is a comprehensive open-source library for deep reinforcement learning, built on PyTorch. It provides modular and optimized implementations of various deep RL algorithms, including A2C, PPO, DQN, DDPG, TD3, and SAC. The library features a unified infrastructure that supports all three major families of model-free algorithms: policy gradient, deep-q learning, and q-function policy gradient. It is designed for high-throughput research, suitable for small to medium-scale experiments, and supports both serial and fully parallelized execution with multi-GPU optimization. Key capabilities include recurrent agent support, online/offline evaluation, and utilities for launching stacked experiments. rlpyt also introduces `namedarraytuple` for efficient data organization, making it compatible with multi-modal observations and actions, and integrates with OpenAI Gym environments.
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