2 papers
cs.RO2026
Inspect Robots: Evaluating the Capabilities and Safety of Embodied AI
Christopher Leet, Achu Menon, Sravanthi Machcha +12
General purpose language models are increasingly able to control robotic hardware. Understanding the capabilities and safety of these models when embodied is therefore increasingly…
cs.LG2026
Exploration Hacking: Can LLMs Learn to Resist RL Training?
Eyon Jang, Damon Falck, Joschka Braun +6
Reinforcement learning (RL) has become essential to the post-training of large language models (LLMs) for reasoning, agentic capabilities and alignment. Successful RL relies on suf…