Gagan Venkat

Reinforcement Learning for Constraint Satisfaction Game Agents

2026 · Zenodo (CERN European Organization for Nuclear Research)

This work explores reinforcement learning for constraint satisfaction game environments, progressing from tabular Q-learning and DQN experiments to an adversarial PPO-based Wumpus agent. The system transforms the traditional static Wumpus into an adaptive RL-driven adversary …