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Tadeusz Dziarmaga

3 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

CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting

NeurIPS 2025poster

Gaussian Splatting (GS) has recently emerged as an efficient representation for rendering 3D scenes from 2D images and has been extended to images, videos, and dynamic 4D content. However, applying style transfer to GS-based representations, especially beyond simple color changes, remains challengin…

Cited by 0SourcecodeScholar
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…