Co-occurring keywords · papers mentioning both
Papers
Causal Discovery for Efficient Offline RL with Factored Action Spaces
CLeaR 2026
Distributionally Robust Online Markov Game with Linear Function Approximation
AAAI 2026
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
UAI 2026
An Open-Ended Learning Framework for Opponent Modeling
AAAI 2025
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
AAAI 2025
Learning with Linear Function Approximations in Mean-Field Control
JMLR 2025
Multi-agent Stochastic Bandits Robust to Adversarial Corruptions
L4DC 2025
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
ICLR 2025
The Complexity of Two-Team Polymatrix Games with Independent Adversaries
ICLR 2025
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
AISTATS 2024
Deep Reinforcement Learning for Communication Networks
AAAI 2024
Efficient Inverse Multiagent Learning
ICLR 2024
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
CVPR 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
NeurIPS 2024
Learning Multi-Object Positional Relationships via Emergent Communication
AAAI 2024
MADiff: Offline Multi-agent Learning with Diffusion Models
NeurIPS 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners
NeurIPS 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints
AISTATS 2024
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
NeurIPS 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
AAAI 2024
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
AAAI 2024
The Sample-Communication Complexity Trade-off in Federated Q-Learning
NeurIPS 2024
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics
IJCAI 2023
BRExIt: On Opponent Modelling in Expert Iteration
IJCAI 2023