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Found 5 papers, 4 papers with code
Stepwise Alignment for Constrained Language Model Policy Optimization
This paper formulates a human value alignment as a language model policy optimization problem to maximize reward under a safety constraint and then proposes an algorithm called Stepwise Alignment for Constrained Policy Optimization (SACPO).
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
We investigate policy transfer using image-to-semantics translation to mitigate learning difficulties in vision-based robotics control agents.
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
In this study, we focus on scenarios involving a simulation environment with uncertainty parameters and the set of their possible values, called the uncertainty parameter set.
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
In this paper, we propose a novel search strategy for one-shot and sparse propagation NAS, namely AdvantageNAS, which further reduces the time complexity of NAS by reducing the number of search iterations.
Scaling Hypothesis of Spatial Search on Fractal Lattice Using Quantum Walk
We investigate a quantum spatial search problem on fractal lattices, such as Sierpinski carpets and Menger sponges.
Quantum Physics
