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Found 4 papers, 3 papers with code
Measuring AI Ability to Complete Long Tasks
Despite rapid progress on AI benchmarks, the real-world meaning of benchmark performance remains unclear.
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
We confirm that our experts make progress in the environments given 8 hours, with 82% of expert attempts achieving a non-zero score and 24% matching or exceeding our strong reference solutions.
Learning Markov State Abstractions for Deep Reinforcement Learning
A fundamental assumption of reinforcement learning in Markov decision processes (MDPs) is that the relevant decision process is, in fact, Markov.
Deep Radial-Basis Value Functions for Continuous Control
We show that the maximum action-value with respect to a deep RBVF can be approximated easily and accurately.
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