Baturay Saglam

Orcid: 0000-0002-8324-5980

According to our database1, Baturay Saglam authored at least 21 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients.
Neural Process. Lett., April, 2024

Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach.
Trans. Mach. Learn. Res., 2024

Compatible Gradient Approximations for Actor-Critic Algorithms.
CoRR, 2024

Actor Prioritized Experience Replay (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep intrinsically motivated exploration in continuous control.
Mach. Learn., December, 2023

Actor Prioritized Experience Replay.
J. Artif. Intell. Res., 2023

Denoising Diffusion Adversarial Models for Unconditional Medical Image Generation.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

User Feedback-based Online Learning for Intent Classification.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-Aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning.
CoRR, 2022

Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms.
CoRR, 2022

An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Improving the Performance of Batch-Constrained Reinforcement Learning in Continuous Action Domains via Generative Adversarial Networks.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Face Inpainting with Pre-trained Image Transformers.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021
Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control.
CoRR, 2021

Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

AWD3: Dynamic Reduction of the Estimation Bias.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021


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