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Tomasz Arczewski

2 accepted papers

2025

Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research

ICLR 2025spotlight

Self-supervision has the potential to transform reinforcement learning (RL), paralleling the breakthroughs it has enabled in other areas of machine learning. While self-supervised learning in other domains aims to find patterns in a fixed dataset, self-supervised goal-conditioned reinforcement learn…

Cited by 0SourcePDFScholar
2025

On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)

AAAI 2025technical

Continual reinforcement learning (CRL) is the study of optimal strategies for maximizing rewards in sequential environments that change over time. This is particularly crucial in domains such as robotics, where the operational environment is inherently dynamic and subject to continual change. Nevert…