Deep Reinforcement Learning
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An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
A Python library for programming 2D/3D games, graphics, and sound synthesizers interactively in Jupyter notebooks.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
A JAX-powered reimplementation of MiniGrid offering over 1000x speedup for reinforcement learning experiments.
A Gymnasium-based benchmarking suite with realistic environments for evaluating reinforcement learning algorithms in practical scenarios.
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