Darioush Keivan

activity

20212026

most citedControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise

3 citations · 3 across the 5 of their papers we have counts for

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cs.LG2026

Rate or Fate? RLV $^{ε}$ R: Reinforcement Learning with Verifiable Noisy Rewards

Ali Rad, Khashayar Filom, Darioush Keivan +2

Reinforcement learning with verifiable rewards (RLVR) is a simple but powerful paradigm for training LLMs: sample a completion, verify it, and update. In practice, however, the ver…

cs.LG2021

Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning

Darioush Keivan, Aaron Havens, Peter Seiler +2

Motivated by the recent empirical success of policy-based reinforcement learning (RL), there has been a research trend studying the performance of policy-based RL methods on standa…

Rate or Fate? RLVεR: Reinforcement Learning with Verifiable Noisy Rewards

Model-Free μ Synthesis via Adversarial Reinforcement Learning

Rate or Fate? RLV $^{ε}$ R: Reinforcement Learning with Verifiable Noisy Rewards

Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning