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 11011125 of 1718 papers

TitleStatusHype
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents0
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning0
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RLCode0
Neural Auto-Curricula in Two-Player Zero-Sum GamesCode1
VAST: Value Function Factorization with Variable Agent Sub-TeamsCode1
Regularized Softmax Deep Multi-Agent Q-LearningCode1
The Power of Communication in a Distributed Multi-Agent System0
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning0
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents0
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings0
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning0
Application of Multi-Agent Reinforcement Learning for Battery Management in Renewable Mini-Grids0
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS0
Multi-lingual agents through multi-headed neural networksCode0
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor RectificationCode1
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning0
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods0
Polymatrix Competitive Gradient Descent0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration0
Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning0
Causal Multi-Agent Reinforcement Learning: Review and Open Problems0
Resilient Consensus-based Multi-agent Reinforcement Learning with Function ApproximationCode1
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium controlCode0
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Benchmark Results

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