SOTAVerified

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

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Showing 251–300 of 1718 papers

TitleStatusHype
Deep Implicit Coordination Graphs for Multi-agent Reinforcement LearningCode1
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode1
Shared Experience Actor-Critic for Multi-Agent Reinforcement LearningCode1
Learning Individually Inferred Communication for Multi-Agent CooperationCode1
The Emergence of IndividualityCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Learning to Model Opponent LearningCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction LibraryCode1
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement LearningCode1
Who2com: Collaborative Perception via Learnable Handshake CommunicationCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
On the Robustness of Cooperative Multi-Agent Reinforcement LearningCode1
"Other-Play" for Zero-Shot CoordinationCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
Represented Value Function Approach for Large Scale Multi Agent Reinforcement LearningCode1
Simplified Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement LearningCode1
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement LearningCode1
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement LearningCode1
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement LearningCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics NetworkCode1
The StarCraft Multi-Agent ChallengeCode1
Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement LearningCode1
Actor-Attention-Critic for Multi-Agent Reinforcement LearningCode1
Negative Update Intervals in Deep Multi-Agent Reinforcement LearningCode1
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode1
Inequity aversion improves cooperation in intertemporal social dilemmasCode1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked AgentsCode1
Mean Field Multi-Agent Reinforcement LearningCode1
A multi-agent reinforcement learning model of common-pool resource appropriationCode1
Lenient Multi-Agent Deep Reinforcement LearningCode1
Value-Decomposition Networks For Cooperative Multi-Agent LearningCode1
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive EnvironmentsCode1
Stabilising Experience Replay for Deep Multi-Agent Reinforcement LearningCode1
Multi-agent Reinforcement Learning in Sequential Social DilemmasCode1
One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing PlatformsCode0
A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge—0
Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning—0
Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning—0
Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning—0
Transformer World Model for Sample Efficient Multi-Agent Reinforcement LearningCode0
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic GenerationCode0
Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study—0
Light Aircraft Game : Basic Implementation and training results analysisCode0
Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning—0
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14—Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15—Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39—Unverified