52 citations · 106 across the 9 of their papers we have counts for
3 papers · 1 filter
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization
Sahar Roostaie, Mohammad Mehdi Ebadzadeh
Trust Region Policy Optimization (TRPO) is a popular and empirically successful policy search algorithm in reinforcement learning (RL). It iteratively solved the surrogate problem…
Modified Double DQN: addressing stability
Shervin Halat, Mohammad Mehdi Ebadzadeh, Kiana Amani
Inspired by Double Q-learning algorithm, the Double-DQN (DDQN) algorithm was originally proposed in order to address the overestimation issue in the original DQN algorithm. The DDQ…
Maximum Entropy Dueling Network Architecture in Atari Domain
Alireza Nadali, Mohammad Mehdi Ebadzadeh
In recent years, there have been many deep structures for Reinforcement Learning, mainly for value function estimation and representations. These methods achieved great success in…