Showing 4 of 4 projects
An AI experimentation platform built on Minecraft for training and researching intelligent agents in complex 3D environments.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
A C++-based high-performance parallel environment execution engine for vectorized reinforcement learning simulations.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
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