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 276300 of 1718 papers

TitleStatusHype
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 Knowledge0
Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning0
Center of Gravity-Guided Focusing Influence Mechanism for Multi-Agent Reinforcement Learning0
Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning0
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 Study0
Light Aircraft Game : Basic Implementation and training results analysisCode0
Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning0
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering0
Show:102550
← PrevPage 12 of 69Next →

Benchmark Results

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