Offline RL benchmark project featuring a custom Gym environment, dual observation modes, reward shaping, and real-time PyGame rendering
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Updated
Jul 4, 2025 - Python
Offline RL benchmark project featuring a custom Gym environment, dual observation modes, reward shaping, and real-time PyGame rendering
Clean, modular DQN in PyTorch with Double/Dueling options and MLP/CNN/LSTM backbones—plug-and-play for Gymnasium environments.
Google Open-Source Project: Stochastic building simulator and real-world dataset for training and benchmarking reinforcement learning agents in energy-efficient smart control environments. Built with Gym, TensorFlow Agents, and 6+ years of real building data.
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