← Methods
Reinforcement Learning › Methods ›

Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

ROMA: Multi-Agent Reinforcement Learning with Emergent Roles ICML 2020
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning ICML 2020
Cooperative Multi-Agent Bandits with Heavy Tails ICML 2020
Combinatorial Pure Exploration for Dueling Bandit ICML 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CORL 2020
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CORL 2020
Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020
The route to chaos in routing games: When is price of anarchy too optimistic? NIPS 2020
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning CVPR 2020
RMM: A Recursive Mental Model for Dialogue Navigation EMNLP 2020
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020
Decentralized MCTS via Learned Teammate Models IJCAI 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning IJCAI 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving IJCAI 2019
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks IJCAI 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019
Exploring the Task Cooperation in Multi-goal Visual Navigation IJCAI 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI ICML 2019