Tahir Abbas Jauhar

Learning to Generalize Across Conditions: A PPO-Based Learning Approach to Multi-Condition Multi-Objective Optimization

This study introduces sPPO-CR, a policy-gradient deep reinforcement learning (DRL) algorithm for multi-objective (MO) and multi-condition multi-objective (MCMO) optimization. The method builds on a simplified single-step variant of Proximal Policy Optimization (PPO) and incorporates a Chebyshev-based reproduction mecha...