Popular GitHub Repositories for Epsilon Greedy Exploration

[TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving

?Deep learning model is presented to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards in RL Pong environment.

심층강화학습기반 장애물과 신호등을 고려한 다차선 자율주행 연구 (한국통신학회 논문지 2024-6월호)