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Multi-agent Reinforcement Learning

The target of Multi-agent Reinforcement Learning is to solve complex problems by integrating multiple agents that focus on different sub-tasks. In general, there are two types of multi-agent systems: independent and cooperative systems.

Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Papers

Showing 101150 of 1718 papers

TitleStatusHype
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement LearningCode1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement LearningCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement LearningCode1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-LearningCode1
An Empirical Study on Google Research Football Multi-agent ScenariosCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningCode1
Inequity aversion improves cooperation in intertemporal social dilemmasCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative TasksCode1
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement LearningCode1
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NCode1
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement LearningCode1
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction LibraryCode1
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language ModelsCode1
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information PrinciplesCode1
Game-Theoretic Multiagent Reinforcement LearningCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
A Game-Theoretic Approach to Multi-Agent Trust Region OptimizationCode1
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay BufferCode1
Collaborative Visual NavigationCode1
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
HyperMARL: Adaptive Hypernetworks for Multi-Agent RLCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
Hierarchical Multi-Agent Reinforcement Learning for Air Combat ManeuveringCode1
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario GenerationCode1
Collaborating with Humans without Human DataCode1
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language ModelsCode1
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARLCode1
FoX: Formation-aware exploration in multi-agent reinforcement learningCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked AgentsCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Actor-Attention-Critic for Multi-Agent Reinforcement LearningCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement LearningCode1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy ManagementCode1
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless NetworksCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39Unverified