Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Cherepanov, Egor"'
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 the utilization of past information, adaptation to novel environments,
Externí odkaz:
http://arxiv.org/abs/2412.06531
Recently, the use of transformers in offline reinforcement learning has become a rapidly developing area. This is due to their ability to treat the agent's trajectory in the environment as a sequence, thereby reducing the policy learning problem to s
Externí odkaz:
http://arxiv.org/abs/2306.09459