q-function-approximation

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SuleynanAuir / DRL-Basis-Project-v1

This material describe the Q-function approximator for DQN/DDQN and the policy-value network used in PPO. Key components include experience replay and target network updates for DQN-based methods, and clipped objective with generalized advantage estimation for PPO.

ppo replay-buffer experience-replay dqn-pytorch ddqn-pyotrch q-function-approximation

Updated May 5, 2026
Python

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