17 citations · 32 across the 2 of their papers we have counts for
4 papers
Active Task-Inference-Guided Deep Inverse Reinforcement Learning
Farzan Memarian, Zhe Xu, Bo Wu +2
We consider the problem of reward learning for temporally extended tasks. For reward learning, inverse reinforcement learning (IRL) is a widely used paradigm. Given a Markov decisi…
Algorithms for Fairness in Sequential Decision Making
Min Wen, Osbert Bastani, Ufuk Topcu
It has recently been shown that if feedback effects of decisions are ignored, then imposing fairness constraints such as demographic parity or equality of opportunity can actually…
Environment-Independent Task Specifications via GLTL
Michael L. Littman, Ufuk Topcu, Jie Fu +3
We propose a new task-specification language for Markov decision processes that is designed to be an improvement over reward functions by being environment independent. The languag…
Strategy Synthesis for Stochastic Rabin Games with Discounted Reward
Min Wen, Ufuk Topcu
Stochastic games are often used to model reactive processes. We consider the problem of synthesizing an optimal almost-sure winning strategy in a two-player (namely a system and it…