Quick Links For Students For Academicians For Industry Upcoming Events Contact

events

RBCDSAI Seminar by Prof. Gugan Thoppe
May 2, 2023 04:00 PM to 05:00 PM
BT Seminar Hall
artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Distinguished Fellowship by Prof. Sriram Natarajan
April 25, 2023 to April 27, 2023 09:00 AM to 12:00 PM
IC&SR Hall 2
artificial intelligence , deep learning , reinforcement-learning
Read →
IBSE ARP Talk - Prof. Vijay Tiwari
April 5, 2023 04:30 PM to 05:30 PM
IC&SR Hall 2
artificial intelligence , deep learning , reinforcement-learning
Read →
Eighth RBCDSAI LatentView Colloquium by Dr. Rema Padman
March 16, 2023 05:00 PM to 06:30 PM
IC&SR Hall 2
LatentView-Colloquium , artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Seminar Series - Prof Lavanya Marla
January 3, 2023 10:30 AM to 11:30 AM
Seminar Hall, RBCDSAI
artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Seminar - Prof Madhav Marathe
December 15, 2022 04:00 PM to 05:00 PM
CRC301, IITM
artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Seminar - Gugan Thoppe
October 7, 2022 04:15 PM to 05:15 PM
Seminar Hall, Block I, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras
artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Seminar - Dr. Vivek Kumar
July 11, 2022 05:00 PM to 06:00 PM
Aryabhatta Hall, CSB 25, IITM
artificial intelligence , deep learning , reinforcement-learning
Read →
Seventh RBCDSAI LatentView Colloquium by Prof. V. S. Subrahmanian
May 12, 2022 04:00 PM to 05:00 PM
Hybrid, CRC 302
LatentView-Colloquium , artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI Seminar - Gugan Thoppe
April 19, 2022 04:00 PM to 05:00 PM
CRC, IITM
artificial intelligence , deep learning , reinforcement-learning
Read →
RBCDSAI LatentView Colloquium Series
December 19, 2019 03:30 PM to 05:30 PM
ICSR Auditorium , IIT Madras
LatentView Colloquium , reinforcement learning
Read →

people

Balaraman Ravindran
Balaraman Ravindran
Head, Robert Bosch Centre for Data Science and AI
Professor
Mindtree Faculty Fellow
Machine learning, Reinforcement learning, Social Network Analysis, Data and text mining
Chandra Shekar Lakshminarayanan
Chandra Shekar Lakshminarayanan
Assistant Professor
Reinforcement learning, Stochastic control and Deep Learning
Gugan Thoppe
Gugan Thoppe
Assistant Professor, IISc
Stochastic Approximation, Random Topology, Reinforcement Learning
Siddarth Chandrasekar
Siddarth Chandrasekar
Post Baccalaureate Fellow
Reinforcement Learning
Devika Jay
Devika Jay
Post Doctoral Fellow
Process optimisation, Electricity Markets, Reinforcement Learning
Jashaswimalya Acharjee
Jashaswimalya Acharjee
Exchange Student
Reinforcement Learning, Robotics, Computer Vision
Kartik Bharadwaj
Kartik Bharadwaj
MS Scholar
Reinforcement Learning, Robotics, Medicine
Jashaswimalya Acharjee
Jashaswimalya Acharjee
PhD Scholar
Reinforcement Learning, Robotics, Computer Vision
Manikya Valli Srighakollapu
Manikya Valli Srighakollapu
PhD Scholar
Control theory, reinforcement learning
Argha Boksi
Argha Boksi
PhD Student
Machine Learning, Deep Learning, Reinforcement Learning
Abhor Gupta
Abhor Gupta
Post Baccalaureate Fellow
Reinforcement Learning
Depen Morwani
Depen Morwani
Reinforcement Learning, Theoretical Deep Learning
Ashutosh Dilipbhai Kakadiya
Ashutosh Dilipbhai Kakadiya
MS Scholar
Reinforcement Learning, Relational Learning, Applied ML
Dhruv Ramani
Dhruv Ramani
Project Associate
Reinforcement Learning, Deep Learning
Debargha Bhattacharjee
Debargha Bhattacharjee
MS Scholar
Natural Language Processing, Reinforcement Learning
Aravind Venugopal
Aravind Venugopal
Post Baccalaureate Fellow
Reinforcement Learning, Game theory
Returaj Burnwal
Returaj Burnwal
PhD Scholar
Reinforcement Learning, Mathematical Modeling
Nishant Prabhu
Nishant Prabhu
M. Tech
Reinforcement Learning, Self-supervised representation learning for vision, Explainable AI
Pavan Ravishankar
Pavan Ravishankar
MS Scholar
Project Associate
Causal Inference, Reinforcement Learning
Jahnvi Patel
Jahnvi Patel
Dual Degree
Reinforcement Learning
Harshavardhan P V
Harshavardhan P V
Dual Degree
Reinforcement learning, Network reprsentation learning
Chandrasekar Subramanian
Chandrasekar Subramanian
PhD Scholar
Reinforcement learning
Anand A R
Anand A R
Dual degree
Reinforcement Learning, Applied deep learning, Comutational biology
Sivapriya Vellaichamy
Sivapriya Vellaichamy
Post Baccalaureate Fellow
Deep Learning, Reinforcement Learning
Raghavendra Mallela
Raghavendra Mallela
Project Associate
Reinforcement Learning, Stochastic Modeling
Manoj Bharadhwaj
Manoj Bharadhwaj
MS Scholar
Deep Learning, Reinforcement Learning, Intelligent Transportation Systems, Explainable AI
Siddharth Nishtala
Siddharth Nishtala
MS Scholar
Deep Learning, Reinforcement Learning

projects

Human-in-the-loop for Safe and Verifiable Reinforcement Learning
Nirav Bhatt , B. Ravindran
Human-in-the-loop for Safe and Verifiable Reinforcement Learning
AI Safety Human in the Loop Reinforcement Learning
Read →
Attention Mechanisms in Deep Neural Networks
Mitesh M Khapra
Attention Mechanisms in Deep Neural Networks
deep learning reinforcement learning transfer learning attention mechanism in deep learning natural language processing
Read →
Learning With Limited Partial and Noisy Data
Nandan Sudarsanam
Learning With Limited Partial and Noisy Data
reinforcement learning applied statistics
Read →

publications

Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Mayuresh Kunir , Sanjay Chawla , Siddarth Chandrasekar and more
To appear in the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
Physics-Informed Model-Based Reinforcement Learning
Physics-Informed Model-Based Reinforcement Learning
Adithya Ramesh , Balaraman Ravindran
To appear in Learning for Dynamics & Control Conference (L4DC) 2023
RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains
RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains
Harsha Kokel , Sriraam Natarajan , B Ravindran and more
Neural Computing and Applications. Springer
An Active Learning Framework for Efficient Robust Policy Search
An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami , Nandan Sudarsanam , B Ravindran
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chauhary , B Ravindran
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Evolutionary Approach to Security Games with Signaling
Evolutionary Approach to Security Games with Signaling
Adam Zychowski , Jacek Mandziuk , Elizabeth Bondi and more
2022 International Joint Conference on Artificial Intelligence
Causal Contextual Bandits with Targeted Interventions
Causal Contextual Bandits with Targeted Interventions
Chandrasekar Subramanian , Balaraman Ravindran
The Tenth International Conference on Learning Representations - ICLR 2022
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Hardik Meisheri, Nazneen N. Sultana , Mayank Baranwal , Vinita Baniwal and more
Neural Computing and Applications
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
Harsha Kokel , Arjun Manoharan , Sriraam Natarajan and more
Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 31, pp. 533-541)
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Aravind Venugopal , Elizabeth Bondi , Harshavardhan Kamarthi and more
In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1353–1361)
SEERL: Sample Efficient Ensemble Reinforcement Learning
SEERL: Sample Efficient Ensemble Reinforcement Learning
Rohan Saphal , B Ravindran , Dheevatsa Mudigere and more
Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1100–1108)
An Enhanced Advising Model in Teacher-Student framework using State Categorization
An Enhanced Advising Model in Teacher-Student framework using State Categorization
Daksh Anand , Vaibhav Gupta , Praveen Paruchuri and more
Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
Nazneen N Sultana , Hardik Meisheri , Vinita Baniwal and more
arXiv:2006.04037
Dynamic Action Repetition for Deep Reinforcement Learning
Dynamic Action Repetition for Deep Reinforcement Learning
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
Proceedings of the AAAI Conference on Artificial Intelligence
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran , Sarvjeet Ghotra , Sergey Levine and more
ICLR
Dynamic frame skip deep q network
Dynamic frame skip deep q network
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning
Pragathi P Balasubramani , V Srinivasa Chakravarthy , B Ravindran and more
Frontiers in computational neuroscience

research

Safety and Stability Preserving Reinforcement Learning
Safety and Stability Preserving Reinforcement Learning
reinforcement learning deep learning control theory autonomous systems
Read →
Attention Mechanisms in Deep Neural Networks
Attention Mechanisms in Deep Neural Networks
neural networks reinforcement learning attention mechanism
Read →

Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

Useful Links

  1. For Students
  2. For Academicians
  3. For Industry
  4. Upcoming Events
IBSE Logo

Contact Us

5th floor, Block II,
Bhupat and Jyoti Mehta School of Biosciences,
Indian Institute of Technology Madras,
Chennai-600036, India.

Map
IITM Logo

Tweets @rbc_dsai_iitm

Robert Bosch Center for Data Science and Artificial Intelligence | IIT Madras © 2023 | Powered by Megam Solutions