11 citations · 25 across the 6 of their papers we have counts for
7 papers
Iterative GRPO: Batch-Online Multi-Turn RL via Single-Turn RLHF
Daniel R. Jiang, Ankur Samanta, Yukai Yang +3
Practical LLM agents often operate over multi-turn conversations where success is determined only after the full interaction ends. Most multi-turn RL methods train via on-policy ro…
Representative Ranking for Deliberation in the Public Sphere
Manon Revel, Smitha Milli, Tyler Lu +2
Online comment sections, such as those on news sites or social media, have the potential to foster informal public deliberation, However, this potential is often undermined by the…
ConQUR: Mitigating Delusional Bias in Deep Q-learning
Andy Su, Jayden Ooi, Tyler Lu +2
Delusional bias is a fundamental source of error in approximate Q-learning. To date, the only techniques that explicitly address delusion require comprehensive search using tabular…
Gradient-based Optimization for Bayesian Preference Elicitation
Ivan Vendrov, Tyler Lu, Qingqing Huang +1
Effective techniques for eliciting user preferences have taken on added importance as recommender systems (RSs) become increasingly interactive and conversational. A common and con…
Safe Exploration for Identifying Linear Systems via Robust Optimization
Tyler Lu, Martin Zinkevich, Craig Boutilier +2
Safely exploring an unknown dynamical system is critical to the deployment of reinforcement learning (RL) in physical systems where failures may have catastrophic consequences. In…
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare
Tyler Lu, Pingzhong Tang, Ariel D. Procaccia +1
Most analyses of manipulation of voting schemes have adopted two assumptions that greatly diminish their practical import. First, it is usually assumed that the manipulators have f…