An elegant PyTorch deep reinforcement learning library.
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Scalable, event-driven, deep-learning-friendly backtesting library
A curated list of Monte Carlo tree search papers with implementations.