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Model-based reinforcement learning and navigation in animals and machines

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Model-based reinforcement learning and navigation in animals and machines

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Improving Multi-agent Coordination by Learning to Estimate Contention

Improving Multi-agent Coordination by Learning to Estimate Contention

From Learning to Memory: A Comparison Between Verbal and Non-verbal Skills in 22q11.2 Deletion Syndrome

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

Distributed Meta-Learning with Networked Agents

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Improving Multi-agent Coordination by Learning to Estimate Contention

Distributed Meta-Learning with Networked Agents

From Learning to Memory: A Comparison Between Verbal and Non-verbal Skills in 22q11.2 Deletion Syndrome

Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning

Subjective feeling of re‐experiencing past events using immersive virtual reality prevents a loss of episodic memory

Improving Multi-agent Coordination by Learning to Estimate Contention

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates