BlockBlast reimplementation + RL agents (DQN, PPO, PPO+Action Masking, DQN+Action Masking, Random)
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Updated
Apr 25, 2025 - Python
BlockBlast reimplementation + RL agents (DQN, PPO, PPO+Action Masking, DQN+Action Masking, Random)
My MSc project on applying, tuning and modifying the PPO and A2C algorithms to Pettingzoo MARL library two player poker game
This repository contains code for the paper "Multi-agent reinforcement learning with action masking for uav-enabled mobile communications" which has been accepted for publishing in IEEE Transactions on Machine Learning in Communications and Networking.
Source code of “Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing” (CAIAC 2025)
Implementation of some Deep Reinforcement Learning algorithms and environments.
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