2026
B-Spar: Bayesian Sparse-Reward Modeling for RL-based Image Editing
ICML 2026poster
Autonomous image-editing agents powered by multimodal large language models (MLLMs) improve transparency and controllability by translating high-level instructions into tool-mediated edit sequences, but training such agents with reinforcement learning often relies on dense proxy rewards (e.g., incre…