Ddpg
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An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
An AI-native modular infrastructure for quantitative trading, featuring a weight-centric architecture for building, testing, and deploying algorithmic strategies.
A modular deep reinforcement learning framework for portfolio management, enabling algorithmic stock trading with DQN and DDPG agents.
A PyTorch reinforcement learning library implementing DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, and IMPALA.
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