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

Showing 15761600 of 1718 papers

TitleStatusHype
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
Reinforcement Learning from Hierarchical CriticsCode0
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target PredictionCode0
Enhancing Language Multi-Agent Learning with Multi-Agent Credit Re-Assignment for Interactive Environment GeneralizationCode0
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement LearningCode0
Centralized control for multi-agent RL in a complex Real-Time-Strategy gameCode0
Light Aircraft Game : Basic Implementation and training results analysisCode0
Policy Evaluation in Decentralized POMDPs with Belief SharingCode0
Solving Common-Payoff Games with Approximate Policy IterationCode0
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate ConvergenceCode0
Emergent Dominance Hierarchies in Reinforcement Learning AgentsCode0
Cooperative Patrol Routing: Optimizing Urban Crime Surveillance through Multi-Agent Reinforcement LearningCode0
Universally Expressive Communication in Multi-Agent Reinforcement LearningCode0
Solving routing problems for multiple cooperative Unmanned Aerial Vehicles using Transformer networks, vol. 122, pp. 106085, 2023Code0
Learning with Opponent-Learning AwarenessCode0
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill DiscoveryCode0
Learning Transferable Cooperative Behavior in Multi-Agent TeamsCode0
Arena: a toolkit for Multi-Agent Reinforcement LearningCode0
Heterogeneous Multi-agent Zero-Shot Coordination by CoevolutionCode0
TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering ProblemCode0
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on VideosCode0
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium controlCode0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent IntelligenceCode0
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Benchmark Results

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