Kumaran, Dharshan

Human-level control through deep reinforcement learning

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 30,357

Overcoming catastrophic forgetting in neural networks

Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al. (2017) · Proceedings of the National Academy of Sciences

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7,899

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., et al. (2018) · Science

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 3,562

Neuroscience-Inspired Artificial Intelligence

Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017) · Neuron

Neural Networks and ApplicationsCognitive Computing and Networks

Cited by 1,557

Patients with hippocampal amnesia cannot imagine new experiences

Hassabis, D., Kumaran, D., Vann, S. D., & Maguire, E. A. (2007) · Proceedings of the National Academy of Sciences

Memory and Neural MechanismsMemory Processes and Influences

Cited by 1,414

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., et al. (2017) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1,102

What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated

Kumaran, D., Hassabis, D., & McClelland, J. L. (2016) · Trends in Cognitive Sciences

Memory and Neural MechanismsNeural dynamics and brain function

Cited by 759

Using Imagination to Understand the Neural Basis of Episodic Memory

Hassabis, D., Kumaran, D., & Maguire, E. A. (2007) · The Journal of Neuroscience

Memory Processes and InfluencesMemory and Neural Mechanisms

Cited by 744

Prefrontal cortex as a meta-reinforcement learning system

Wang, J. X., Kurth-Nelson, Z., Kumaran, D., Tirumala, D., Soyer, H., Leibo, J. Z., Hassabis, D., & Botvinick, M. (2018) · Nature Neuroscience

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 596

Learning to reinforcement learn

Wang, J. X., Kurth-Nelson, Z., Tirumala, D., Soyer, H., Leibo, J. Z., Munos, R., Blundell, C., Kumaran, D., & Botvinick, M. (2016) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 579

Tracking the emergence of conceptual knowledge during human decision making

Kumaran, D., Summerfield, J. J., Hassabis, D., & Maguire, E. A. (2009) · Neuron

Memory and Neural MechanismsMemory Processes and Influences

Cited by 260

The Human Hippocampus: Cognitive Maps or Relational Memory?

Kumaran, D., & Maguire, E. A. (2005) · The Journal of Neuroscience

Memory and Neural MechanismsSpatial Cognition and Navigation

Cited by 218

Big-loop recurrence within the hippocampal system supports integration of information across episodes

Koster, R., Chadwick, M. J., Chen, Y., Berron, D., Banino, A., Düzel, E., Hassabis, D., & Kumaran, D. (2018) · Neuron

Memory and Neural MechanismsMemory Processes and Influences

Cited by 191

The Neurobiology of Reference-Dependent Value Computation

De Martino, B., Kumaran, D., Holt, B., & Dolan, R. J. (2009) · The Journal of Neuroscience

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 174

Language models, like humans, show content effects on reasoning tasks

Lampinen, A. K., Dasgupta, I., Chan, S. C. Y., Sheahan, H. R., Creswell, A., Kumaran, D., McClelland, J. L., & Hill, F. (2024) · PNAS Nexus

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 69

Retrieval-based model accounts for striking profile of episodic memory and generalization

Banino, A., Koster, R., Hassabis, D., & Kumaran, D. (2016) · Scientific Reports

Memory and Neural MechanismsMemory Processes and Influences

Cited by 57

Language models show human-like content effects on reasoning tasks

Dasgupta, I., Lampinen, A. K., Chan, S. C. Y., Sheahan, H. R., Creswell, A., Kumaran, D., McClelland, J. L., & Hill, F. (2022) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 53

A model of egocentric to allocentric understanding in mammalian brains

Uria, B., Ibarz, B., Banino, A., Zambaldi, V., Kumaran, D., Hassabis, D., Barry, C., & Blundell, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Memory and Neural MechanismsSpatial Cognition and Navigation

Cited by 48

Transformers generalize differently from information stored in context vs in weights

Chan, S. C. Y., Dasgupta, I., Kim, J., Kumaran, D., Lampinen, A. K., & Hill, F. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 11