13 citations · 40 across the 18 of their papers we have counts for
3 papers · 1 filter
Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents
Jiacheng Qiu, Christopher E. Mower, Jan Peters +2
Diffusion-based large language models (dLLMs) promise to break the sequential latency bottleneck of autoregressive agents through parallel decoding, but recent evaluations show thi…
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
Anish Diwan, Davide Tateo, Christopher E. Mower +3
Inverse reinforcement learning (IRL) is typically formulated as maximizing entropy subject to matching the distribution of expert trajectories. Classical (dual-ascent) IRL guarante…
Al-Khwarizmi: Discovering Physical Laws with Foundation Models
Christopher E. Mower, Haitham Bou-Ammar
Inferring physical laws from data is a central challenge in science and engineering, including but not limited to healthcare, physical sciences, biosciences, social sciences, susta…