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cs.LG2026
Integrating Novelty and Surprise for Experience Prioritization and Exploration in Image-Based Reinforcement Learning
Hoda Yamani, Henry Williams, Bruce A. MacDonald
Sample efficiency is a central challenge in reinforcement learning (RL), particularly in image-based domains where agents must learn from high-dimensional visual inputs. Traditiona…
cs.LG2026
Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning
Hoda Yamani, Yuning Xing, Koen van Rijnsoever +2
Repetition is a fundamental mechanism in human learning, where revisiting successful experiences strengthens memory, consolidates skills, and improves future performance. Motivated…
cs.LG2025
Reward Prediction Error Prioritisation in Experience Replay: The RPE-PER Method
Hoda Yamani, Yuning Xing, Lee Violet C. Ong +2
Reinforcement Learning algorithms aim to learn optimal control strategies through iterative interactions with an environment. A critical element in this process is the experience r…