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UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
This paper focuses on cooperative value-based multi-agent reinforcement ...
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AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning
Real world multi-agent tasks often involve varying types and quantities ...
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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
Deep multi-agent reinforcement learning (MARL) holds the promise of auto...
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Optimistic Exploration even with a Pessimistic Initialisation
Optimistic initialisation is an effective strategy for efficient explora...
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Deep Coordination Graphs
This paper introduces the deep coordination graph (DCG) for collaborativ...
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Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
This paper investigates the use of intrinsic reward to guide exploration...
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Multitask Soft Option Learning
We present Multitask Soft Option Learning (MSOL), a hierarchical multita...
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Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning
This paper investigates a type of instability that is linked to the gree...
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Regression with Linear Factored Functions
Many applications that use empirically estimated functions face a curse ...
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Robot Navigation using Reinforcement Learning and Slow Feature Analysis
The application of reinforcement learning algorithms onto real life prob...
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