Multi-Agent Systems
1,251 papers
Papers per year
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Papers
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
ICML 2024
Fast Peer Adaptation with Context-aware Exploration
ICML 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
NeurIPS 2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
ICML 2024
Feel-Good Thompson Sampling for Contextual Dueling Bandits
ICML 2024
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
NeurIPS 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
ICML 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation
IJCAI 2024
Fleet Supervisor Allocation: A Submodular Maximization Approach
CoRL 2024
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
AAAI 2024
Genetic Algorithm for Curriculum Design in Multi-Agent Reinforcement Learning
CoRL 2024
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
L4DC 2024
Global Rewards in Restless Multi-Armed Bandits
NeurIPS 2024
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
ICML 2024
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
NeurIPS 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
IJCAI 2024
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
ICML 2024
Heterogeneous-Agent Reinforcement Learning
JMLR 2024
HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
ICML 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NeurIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
AAAI 2024
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
ICML 2024
Improving Multi-agent Reinforcement Learning with Stable Prefix Policy
IJCAI 2024
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
ICML 2024