391 citations · 881 across the 63 of their papers we have counts for
5 papers · 1 filter
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions
Selim Furkan Tekin, Suleyman Serdar Kozat
Existing approaches to the crime prediction problem are unsuccessful in expressing the details since they assign the probability values to large regions. This paper introduces a ne…
AWD3: Dynamic Reduction of the Estimation Bias
Dogan C. Cicek, Enes Duran, Baturay Saglam +3
Value-based deep Reinforcement Learning (RL) algorithms suffer from the estimation bias primarily caused by function approximation and temporal difference (TD) learning. This probl…
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay
Dogan C. Cicek, Enes Duran, Baturay Saglam +2
The experience replay mechanism allows agents to use the experiences multiple times. In prior works, the sampling probability of the transitions was adjusted according to their imp…
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods
Baturay Saglam, Enes Duran, Dogan C. Cicek +2
In value-based deep reinforcement learning methods, approximation of value functions induces overestimation bias and leads to suboptimal policies. We show that in deep actor-critic…
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients
Baturay Saglam, Furkan Burak Mutlu, Dogan Can Cicek +1
Approximation of the value functions in value-based deep reinforcement learning induces overestimation bias, resulting in suboptimal policies. We show that when the reinforcement s…