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 16511675 of 1718 papers

TitleStatusHype
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations0
Deep Multi-Agent Reinforcement Learning with Relevance GraphsCode0
Emergence of linguistic conventions in multi-agent reinforcement learning0
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning0
Bayesian Action Decoder for Deep Multi-Agent Reinforcement LearningCode1
Multi-Agent Common Knowledge Reinforcement LearningCode0
TarMAC: Targeted Multi-Agent Communication0
Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks0
Multi-Agent Actor-Critic with Generative Cooperative Policy Network0
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement LearningCode1
Actor-Attention-Critic for Multi-Agent Reinforcement LearningCode1
M^3RL: Mind-aware Multi-agent Management Reinforcement LearningCode0
A Better Baseline for Second Order Gradient Estimation in Stochastic Computation Graphs0
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas0
IntelligentCrowd: Mobile Crowdsensing via Multi-Agent Reinforcement Learning0
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning0
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning0
Negative Update Intervals in Deep Multi-Agent Reinforcement LearningCode1
Coordination-driven learning in multi-agent problem spaces0
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement LearningCode0
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising0
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures0
Learning to Share and Hide Intentions using Information RegularizationCode0
Multi-Agent Reinforcement Learning: A Report on Challenges and ApproachesCode0
Learning to Act in Decentralized Partially Observable MDPs0
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Benchmark Results

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