TA
tadiwa-aizen/Reinforcement-Learning
Designed a Q-learning agent for navigating a 'Four-Rooms' grid-world, mastering package collection with increasing complexity and handling both deterministic and stochastic action spaces.
Designed a Q-learning agent for navigating a 'Four-Rooms' grid-world, mastering package collection with increasing complexity and handling both deterministic and stochastic action spaces.