Tomasz Arczewski
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View article: On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) Open
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 …
View article: Accelerating Goal-Conditioned RL Algorithms and Research
Accelerating Goal-Conditioned RL Algorithms and Research Open
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 …