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cs.CV2024
Symbolic Disentangled Representations for Images
Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov
The idea of disentangled representations is to reduce the data to a set of generative factors that produce it. Typically, such representations are vectors in latent space, where ea…
cs.LG2024
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Egor Cherepanov, Nikita Kachaev, Artem Zholus +2
The incorporation of memory into agents is essential for numerous tasks within the domain of Reinforcement Learning (RL). In particular, memory is paramount for tasks that require…