59 citations · 64 across the 12 of their papers we have counts for
4 papers · 1 filter
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
Erfan Mirzaei, Seyed Pooya Shariatpanahi, Alireza Tavakoli +2
Personalized AI-based services involve a population of individual reinforcement learning agents. However, most reinforcement learning algorithms focus on harnessing individual lear…
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
Reinforcement learning (RL) plays a major role in solving complex sequential decision-making tasks. Hierarchical and goal-conditioned RL are promising methods for dealing with two…
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback
Alireza Rashidi Laleh, Majid Nili Ahmadabadi
Reinforcement learning (RL) is one of the active fields in machine learning, demonstrating remarkable potential in tackling real-world challenges. Despite its promising prospects,…
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
In large-scale problems, standard reinforcement learning algorithms suffer from slow learning speed. In this paper, we follow the framework of using subspaces to tackle this proble…