6 papers · 1 filter
Policy-Conditioned Policies for Multi-Agent Task Solving
Yue Lin, Shuhui Zhu, Wenhao Li +5
In multi-agent tasks, the central challenge lies in the dynamic adaptation of strategies. However, directly conditioning on opponents' strategies is intractable in the prevalent de…
Image-POSER: Reflective RL for Multi-Expert Image Generation and Editing
Hossein Mohebbi, Mohammed Abdulrahman, Yanting Miao +2
Recent advances in text-to-image generation have produced strong single-shot models, yet no individual system reliably executes the long, compositional prompts typical of creative…
Information Bargaining: Bilateral Commitment in Bayesian Persuasion
Yue Lin, Shuhui Zhu, William A Cunningham +4
Bayesian persuasion, an extension of cheap-talk communication, involves an informed sender committing to a signaling scheme to influence a receiver's actions. Compared to cheap tal…
Measures of Variability for Risk-averse Policy Gradient
Yudong Luo, Yangchen Pan, Jiaqi Tan +1
Risk-averse reinforcement learning (RARL) is critical for decision-making under uncertainty, which is especially valuable in high-stake applications. However, most existing works f…
Cohen--Macaulay ideals of codimension two and the geometry of plane points
Dayane Lira, Geisa Oliveira, Zaqueu Ramos +1
We consider classes of codimension two Cohen--Macaulay ideals over a standard graded polynomial ring over a field. We revisit Vasconcelos' problem on matrices with homo…
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
Guiliang Liu, Sheng Xu, Shicheng Liu +3
Inverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit constraints that expert agents adhere to, based on their demonstration data. As an emerging…