MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Repository for my dissertation pertaining to optimal trading strategies for single-asset and multi-asset portfolios in stock markets.
Training Deep RL Agent for navigation and object avoidance tasks using Pytorch
A Tetris-playing bot powered by deep reinforcement learning. Experience the captivating combination of Pygame and AI as the bot showcases its mastery of Tetris.
Master's degree thesis in Computer Science Engineering in collaboration with AIKO company
RL - DRL for various Environments like games and stock markets. Discover different DRL model architecture and ways to deal with RL downsides
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