Author

Syed Nazmus Sakib

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#artificial intelligence Preprint Sep 2026

Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?

Goal-conditioned reinforcement learning (GCRL) relies heavily on how target goals are represented to the policy. While recent methods encode goals via temporal distance, occupancy, or controllability, it remains unclear how much downstream performance actually depends on representation quality. We study this in offline...

Syed Nazmus Sakib, Abdul Monaf Chowdhury, Nafiul Haque et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR

Reinforcement learning with verifiable rewards (RLVR) has become an important approach for improving reasoning during post-training. Recent work suggests that some difficult prompts remain resistant to learning even when they occasionally produce correct solutions. We revisit this unlearnability phenomenon and find tha...

Chandak Chakma, Syed Nazmus Sakib, Nafiul Haque et al. · 0 citations

Open access Jul 2026

AI-Driven Decision Capability, Green Investment Intensity, and Sustainable Firm Performance: The Moderating Role of Governance Quality

The role of artificial intelligence (AI) in project evaluation, capital allocation, and sustainability performance has gained attention, yet the firm-level channel through green investment remains underexplored. This study examines whether AI-driven decision capability increases green investment intensity and whether s...

M. Qamruzzaman, A. Almulhim, Syed Nazmus Sakib et al. · Journal of Intelligent Decis... · 0 citations