conftrace_

multi-agent learning

98 papers

Explore in graph

Co-occurring keywords

multi-agent system (1819) game theory (854) nash equilibrium (398) regret bound (1926) reinforcement learning (4352) multi-agent reinforcement learning (538) zero-sum game (190) online learning (1777) markov game (86) regret minimization (315)

Papers

Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do NIPS 2023
Safe Multi-agent Learning via Trapping Regions IJCAI 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium IJCAI 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023
Policy Space Diversity for Non-Transitive Games NIPS 2023
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NIPS 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
COLA: Consistent Learning with Opponent-Learning Awareness ICML 2022
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria ICML 2022
Learning From All Vehicles CVPR 2022
Cooperative Online Learning in Stochastic and Adversarial MDPs ICML 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022
Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NIPS 2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers NIPS 2022
Balancing adaptability and non-exploitability in repeated games UAI 2022
Model-Free Opponent Shaping ICML 2022
Transfer Learning Based Adaptive Automated Negotiating Agent Framework IJCAI 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control NIPS 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NIPS 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world NIPS 2022