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08/19/2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Communication lays the foundation for cooperation in human society and i...
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06/19/2023
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games
The congestion game is a powerful model that encompasses a range of engi...
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05/18/2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
The difficulty of appropriately assigning credit is particularly heighte...
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05/08/2023
Information Design in Multi-Agent Reinforcement Learning
Reinforcement learning (RL) mimics how humans and animals interact with ...
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02/23/2023
Diverse Policy Optimization for Structured Action Space
Enhancing the diversity of policies is beneficial for robustness, explor...
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02/14/2023
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
Learning Markov decision processes (MDP) in an adversarial environment h...
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11/28/2022
Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning
Offline multi-agent reinforcement learning (MARL) aims to learn effectiv...
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09/28/2022
Online Policy Optimization for Robust MDP
Reinforcement learning (RL) has exceeded human performance in many synth...
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04/25/2022
Algorithms and Theory for Supervised Gradual Domain Adaptation
The phenomenon of data distribution evolving over time has been observed...
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02/28/2022
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation
We study the convergence of the actor-critic algorithm with nonlinear fu...
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01/25/2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Temporal difference (TD) learning is a widely used method to evaluate po...
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12/20/2021
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth
Recent studies have shown that introducing communication between agents ...
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10/18/2021
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient
Improving the resilience of a network protects the system from natural d...
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09/09/2021
Incentivizing an Unknown Crowd
Motivated by the common strategic activities in crowdsourcing labeling, ...
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07/15/2021
Multilinear extension of k-submodular functions
A k-submodular function is a function that given k disjoint subsets outp...
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06/01/2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a popu...
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05/24/2021
Cascading Bandit under Differential Privacy
This paper studies differential privacy (DP) and local differential priv...
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02/25/2021
Combinatorial Bandits under Strategic Manipulations
We study the problem of combinatorial multi-armed bandits (CMAB) under s...
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03/29/2020
Learning and Testing Variable Partitions
Let F be a multivariate function from a product set Σ^n to an Abelian gr...
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12/31/2019
The Gambler's Problem and Beyond
We analyze the Gambler's problem, a simple reinforcement learning proble...
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05/29/2019
Recurrent Existence Determination Through Policy Optimization
Binary determination of the presence of objects is one of the problems w...
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01/30/2019
Private Q-Learning with Functional Noise in Continuous Spaces
We consider privacy-preserving algorithms for deep reinforcement learnin...
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07/01/2018
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning
In recent years, reinforcement learning (RL) methods have been applied t...
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05/10/2018
Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control
Reinforcement learning (RL) has had many successes in both "deep" and "s...
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05/09/2018