313 citations · 436 across the 14 of their papers we have counts for
5 papers · 1 filter
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
Kun Hu, Muning Wen, Xihuai Wang +5
Multi-agent reinforcement learning (MARL) faces challenges in coordinating agents due to complex interdependencies within multi-agent systems. Most MARL algorithms use the simultan…
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li, Mengyue Yang, Furui Liu +3
The capability of imagining internally with a mental model of the world is vitally important for human cognition. If a machine intelligent agent can learn a world model to create a…
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov, Minne Li, Alexander I. Cowen-Rivers +2
In this paper, we present C-ADAM, the first adaptive solver for compositional problems involving a non-linear functional nesting of expected values. We proof that C-ADAM converges…
Multi-View Reinforcement Learning
Minne Li, Lisheng Wu, Haitham Bou Ammar +1
This paper is concerned with multi-view reinforcement learning (MVRL), which allows for decision making when agents share common dynamics but adhere to different observation models…
Joint Perception and Control as Inference with an Object-based Implementation
Minne Li, Zheng Tian, Pranav Nashikkar +3
Existing model-based reinforcement learning methods often study perception modeling and decision making separately. We introduce joint Perception and Control as Inference (PCI), a…