Humans monitor learning progress in curiosity-driven exploration A Ten, P Kaushik, PY Oudeyer, J Gottlieb Nature communications 12 (1), 5972, 2021 | 43 | 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 | 3 | 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 | 3 | 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 | | 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 | | 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 | | 2022 |
Aha! Le cri de la créativité F Alexandre, C Mercier, T Viéville Binaire, 2022 | | 2022 |
Humans monitor learning progress in A Ten, P Kaushik, PY Oudeyer, J Gottlieb | | 2021 |
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 | | 2019 |
Experimental And Computational Investigation of the Effects of Variable RSI on Sequence Learning S Kummetha, PS Kaushik, AK Shukla, BR Surampudi | | 2018 |
A Neuro-computational Model of Reward Prediction Error in Classical Conditioning P Kaushik International Institute of Information Technology Hyderabad, 2017 | | 2017 |