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cs.LG2026
LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
Anoop Cherian, Radu Corcodel, Siddarth Jain +1
Most learning-based approaches to complex physical reasoning sidestep the crucial problem of parameter identification (e.g., mass, friction) that governs scene dynamics, despite it…
cs.LG2025
GRAM: Generalization in Deep RL with a Robust Adaptation Module
James Queeney, Xiaoyi Cai, Alexander Schperberg +3
The reliable deployment of deep reinforcement learning in real-world settings requires the ability to generalize across a variety of conditions, including both in-distribution scen…