Pramod  Kaushik
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Humans monitor learning progress in curiosity-driven exploration
A Ten, P Kaushik, PY Oudeyer, J Gottlieb
Nature communications 12 (1), 5972, 2021
A conservative Q-learning approach for handling distribution shift in sepsis treatment strategies
P Kaushik, S Kummetha, P Moodley, RS Bapi
arXiv preprint arXiv:2203.13884, 2022
A biologically inspired neuronal model of reward prediction error computation
PS Kaushik, M Carrere, F Alexandre, SB Raju
2017 International Joint Conference on Neural Networks (IJCNN), 3577-3584, 2017
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
DM Fernandes, P Kaushik, H Shukla, BR Surampudi
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning
P Kaushik, J Naudé, SB Raju, F Alexandre
Neurobiology of Learning and Memory 193, 107653, 2022
Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks
F Dolton, K Pramod, N Bhargav, T, B Raju
2022 Conference on Cognitive Computational Neuroscience, 2022
Aha! Le cri de la créativité
F Alexandre, C Mercier, T Viéville
Binaire, 2022
Humans monitor learning progress in
A Ten, P Kaushik, PY Oudeyer, J Gottlieb
A neuro-computational model showing the effects of ventral striatum lesion on the computation of reward prediction error in VTA
PS Kaushik, F Alexandre
NeuroFrance, the international conference of the french society of Neuroscience, 2019
Experimental And Computational Investigation of the Effects of Variable RSI on Sequence Learning
S Kummetha, PS Kaushik, AK Shukla, BR Surampudi
A Neuro-computational Model of Reward Prediction Error in Classical Conditioning
P Kaushik
International Institute of Information Technology Hyderabad, 2017
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