Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

WebGym: Web-browser-based tasks for RL Agents

Wumpus World Reinforcement Learning - Deep Q Network, based on OpenAI-Gym

Dedicated to exploring and implementing various algorithms in the field of reinforcement learning. Techniques such as Q-learning, SARSA, and policy gradient methods. Implementation of these methods on various environments such as OpenAI gym.

Be Creative Anon with F\EXIBILITY

Wesendrup, Kevin; Hellingrath, Bernd (2023): ML2-enabled Condition-based Demand, Production, Inventory, and Maintenance Planning. In : IFAC World Congress 2023. IFAC World Congress 2023, pp. 7182–7187.

Implementation of Policy Gradient Methods for Continuous and Discrete Action Spaces

Implementation of RL algorithms