Showing 9 of 9 projects
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
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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