Simple EnergyPlus environments for control optimization using reinforcement learning
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Updated
Feb 27, 2025 - Python
Simple EnergyPlus environments for control optimization using reinforcement learning
Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios
The Learning and Experiencing Cycle Interface (LExCI).
Reinforcement learning based automated parking systems (Gymnasium and Ray RLlib)
Notebooks and exercises for the Fast Deep Reinforcement Learning Course https://courses.dibya.online/p/fastdeeprl
Integration of Ray RLlib into CARLA Autonomous Driving Simulator 🚙
Gymnasium environments for classic Inventory Management problems (Newsvendor, Multi-Echelon, Network), adapted from OR-Gym. Provides RL environments and comprehensive benchmarking scripts comparing Heuristic, SB3, and RLlib agents.
Source code of experiments with MARL and FaaS of Emanuele Petriglia.
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