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cs.LG2026
RH-Detect: A Unified Benchmark for Reward Hacking Detection
Junwei Quan, Evgenii Opryshko, Rohan Subramani +1
Reward hacking, where a model exploits an evaluation signal without completing the intended task, threatens the reliability of deployed language model systems. Existing datasets us…
cs.LG2023
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Rohan Subramani, Marcus Williams, Max Heitmann +3
Most algorithms in reinforcement learning (RL) require that the objective is formalised with a Markovian reward function. However, it is well-known that certain tasks cannot be exp…