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06/22/2023
Transferable Curricula through Difficulty Conditioned Generators
Advancements in reinforcement learning (RL) have demonstrated superhuman...
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03/08/2023
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets
In large-scale multi-agent systems like taxi fleets, individual agents (...
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02/21/2023
Conditioning Hierarchical Reinforcement Learning on Flexible Constraints
Safety in goal directed Reinforcement Learning (RL) settings has typical...
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02/21/2023
Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling
The popularity of on-demand ride pooling is owing to the benefits offere...
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02/14/2023
Regret-Based Optimization for Robust Reinforcement Learning
Deep Reinforcement Learning (DRL) policies have been shown to be vulnera...
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02/04/2023
Diversity Induced Environment Design via Self-Play
Recent work on designing an appropriate distribution of environments has...
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01/27/2023
Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties
Constrained Reinforcement Learning has been employed to enforce safety c...
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01/19/2023
Effective Diversity in Unsupervised Environment Design
Agent decision making using Reinforcement Learning (RL) heavily relies o...
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12/27/2022
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
In multi-agent systems with large number of agents, typically the contri...
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07/27/2022
Towards Soft Fairness in Restless Multi-Armed Bandits
Restless multi-armed bandits (RMAB) is a framework for allocating limite...
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06/08/2022
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits
Restless Multi-Armed Bandits (RMAB) is an apt model to represent decisio...
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12/01/2021
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling
Owing to the benefits for customers (lower prices), drivers (higher reve...
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09/22/2021
Facilitating human-wildlife cohabitation through conflict prediction
With increasing world population and expanded use of forests as cohabite...
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09/16/2021
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
The widespread availability of cell phones has enabled non-profits to de...
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07/08/2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
Influence maximization is the problem of finding a small subset of nodes...
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05/17/2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
In many public health settings, it is important for patients to adhere t...
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09/16/2020
Competitive Ratios for Online Multi-capacity Ridesharing
In multi-capacity ridesharing, multiple requests (e.g., customers, food ...
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09/13/2020
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing
Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare hav...
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03/16/2020
Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems
For effective matching of resources (e.g., taxis, food, bikes, shopping ...
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01/22/2020
On Solving Cooperative MARL Problems with a Few Good Experiences
Cooperative Multi-agent Reinforcement Learning (MARL) is crucial for coo...
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11/20/2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
On-demand ride-pooling (e.g., UberPool) has recently become popular beca...
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11/20/2019
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Large-scale screening for potential threats with limited resources and c...
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12/13/2018
TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control
Real-time traffic signal control systems can effectively reduce urban tr...
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12/03/2018
Resource Constrained Deep Reinforcement Learning
In urban environments, supply resources have to be constantly matched to...
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03/27/2018
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings
With the advent of sequential matching (of supply and demand) systems (u...
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10/16/2012
