2 papers
cs.AI2026
Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement
Wenbo Huang, Jianxin Bi, Shunyu Yang +10
Self-improving embodied agents are increasingly being developed and compared on robot simulation benchmarks. Several recent works expose the benchmark's success criteria to the lea…
cs.CV2026
Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens
Ruiyang Si, Jianxin Bi, Shunyu Yang +12
Vision-language model (VLM) agents can control robots through visual feedback and action primitives, but repeated LLM calls and redundant observations incur substantial token overh…