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12/28/2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
The capability of imagining internally with a mental model of the world ...
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02/10/2020
Compositional ADAM: An Adaptive Compositional Solver
In this paper, we present C-ADAM, the first adaptive solver for composit...
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10/18/2019
Multi-View Reinforcement Learning
This paper is concerned with multi-view reinforcement learning (MVRL), w...
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09/08/2019
Bi-level Actor-Critic for Multi-agent Coordination
Coordination is one of the essential problems in multi-agent systems. Ty...
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05/27/2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
How to optimally dispatch orders to vehicles and how to trade off betwee...
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03/04/2019
Optimizing Object-based Perception and Control by Free-Energy Principle
One of the well-known formulations of human perception is a hierarchical...
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01/31/2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
A fundamental question in any peer-to-peer ridesharing system is how to,...
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11/05/2018
Learning Shared Dynamics with Meta-World Models
Humans have consciousness as the ability to perceive events and objects:...
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02/15/2018
Mean Field Multi-Agent Reinforcement Learning
Existing multi-agent reinforcement learning methods are limited typicall...
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05/05/2017