DQN

A developer built an Explainable Causal Reinforcement Learning (XC-RL) framework for wildfire evacuation logistics, incorporating a Structural Causal Model to capture causal relationships between fire…

A technical comparison of REINFORCE and DQN reinforcement learning algorithms shows that REINFORCE learns policies directly by outputting action probabilities and sampling, eliminating the need for re…

Deep Q-Networks (DQN) replace the Q-table in Q-learning with a neural network that outputs Q-values for all actions, enabling generalization across similar states. To stabilize training, DQN uses expe…

Researchers introduced Quantum Frog, a two-player cooperative game with a quantized-time mechanic where the environment advances only when a player acts. Using reinforcement learning, they found that …