FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
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FinRL®: Financial Reinforcement Learning. 🔥
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Machine learning, in numpy
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
An elegant PyTorch deep reinforcement learning library.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Playing Pokemon Red with Reinforcement Learning
Infrastructure for continually self‑improving agents
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Deep Reinforcement Learning for Keras.
A library of reinforcement learning components and agents
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
Tensorforce: a TensorFlow library for applied reinforcement learning
TensorFlow Reinforcement Learning
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Reinforcement Learning in PyTorch