Reinforcement Learning

blogs

events

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

people

Balaraman Ravindran
Head, Robert Bosch Centre for Data Science and AI, Professor, Mindtree Faculty Fellow

Specialization:

Abhor Gupta
Post Baccalaureate Fellow

Specialization:

projects

publications

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Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy,

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks

To be appearing in the proceedings of ASONAM 2023

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Mayuresh Kunir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran,

Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference

To appear in the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

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Adithya Ramesh, Balaraman Ravindran,

Physics-Informed Model-Based Reinforcement Learning

To appear in Learning for Dynamics & Control Conference (L4DC) 2023

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Harsha Kokel, Sriraam Natarajan, B Ravindran, Prasad Tadepalli,

RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains

Neural Computing and Applications. Springer

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Sai Kiran Narayanaswami, Nandan Sudarsanam, B Ravindran,

An Active Learning Framework for Efficient Robust Policy Search

5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)

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Sapana Chauhary, B Ravindran,

Smooth Imitation Learning via Smooth Costs and Smooth Policies

5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)

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Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran,

Evolutionary Approach to Security Games with Signaling

2022 International Joint Conference on Artificial Intelligence

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Chandrasekar Subramanian, Balaraman Ravindran,

Causal Contextual Bandits with Targeted Interventions

The Tenth International Conference on Learning Representations - ICLR 2022

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Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar ,

Scalable multi-product inventory control with lead time constraints using reinforcement learning

Neural Computing and Applications

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Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli,

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction

Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 31, pp. 533-541)

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Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, B Ravindran, Milind Tambe,

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty

In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1353–1361)

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Rohan Saphal, B Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul,

SEERL: Sample Efficient Ensemble Reinforcement Learning

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1100–1108)

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Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, B Ravindran,

An Enhanced Advising Model in Teacher-Student framework using State Categorization

Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660

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Nazneen N Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar,

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

arXiv:2006.04037

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Aravind S Lakshminarayanan, Sahil Sharma, B Ravindran,

Dynamic Action Repetition for Deep Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence

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Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, B Ravindran,

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

ICLR

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Aravind S Lakshminarayanan, Sahil Sharma, B Ravindran,

Dynamic frame skip deep q network

IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges

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Pragathi P Balasubramani, V Srinivasa Chakravarthy, B Ravindran, Ahmed A Moustafa,

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

Frontiers in computational neuroscience

research