Ravindran, Balaraman

47 publications

LoG 2023 HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha Talukdar

NeurIPSW 2023 Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran

L4DC 2023 Physics-Informed Model-Based Reinforcement Learning Adithya Ramesh, Balaraman Ravindran

AISTATS 2022 On Combining Bags to Better Learn from Label Proportions Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran

TMLR 2022 Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel

ICLR 2022 Causal Contextual Bandits with Targeted Interventions Chandrasekar Subramanian, Balaraman Ravindran

CVPRW 2022 Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran

IJCAI 2022 Evolutionary Approach to Security Games with Signaling Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran

NeurIPSW 2022 Guiding Offline Reinforcement Learning Using Safety Expert Richa Verma, Kartik Bharadwaj, Harshad Khadilkar, Balaraman Ravindran

NeurIPSW 2022 Lagrangian Model Based Reinforcement Learning Adithya Ramesh, Balaraman Ravindran

NeurIPSW 2022 Lagrangian Model Based Reinforcement Learning Adithya Ramesh, Balaraman Ravindran

CoLLAs 2022 TAG: Task-Based Accumulated Gradients for Lifelong Learning Pranshu Malviya, Balaraman Ravindran, Sarath Chandar

AAAI 2021 An Enhanced Advising Model in Teacher-Student Framework Using State Categorization Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran

NeurIPSW 2021 Deep RePReL--Combining Planning and Deep RL for Acting in Relational Domains Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

NeurIPSW 2021 Interactive Robust Policy Optimization for Multi-Agent Reinforcement Learning Videh Raj Nema, Balaraman Ravindran

JAIR 2021 MADRaS : Multi Agent Driving Simulator Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran

ACML 2021 Metric Learning for Comparison of HMMs Using Graph Neural Networks Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran

AAAI 2021 Relational Boosted Bandits Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran

Distill 2021 Understanding Convolutions on Graphs Ameya Daigavane, Balaraman Ravindran, Gaurav Aggarwal

ICLR 2020 EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks Sanchari Sen, Balaraman Ravindran, Anand Raghunathan

AAAI 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

ECML-PKDD 2020 Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran

ECCVW 2020 Reinforcement Learning for Improving Object Detection Siddharth Nayak, Balaraman Ravindran

AAAI 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

IJCAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning Rahul Ramesh, Manan Tomar, Balaraman Ravindran

AAAI 2018 Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran

ICLR 2018 Learning to Multi-Task by Active Sampling Sahil Sharma, Ashutosh Kumar Jha, Parikshit S Hegde, Balaraman Ravindran

WACV 2018 Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran

ICLR 2017 Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran

AAAI 2017 Dynamic Action Repetition for Deep Reinforcement Learning Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran

ICLR 2017 EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran, Sergey Levine

ICLR 2017 Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran

ICLR 2017 Online Multi-Task Learning Using Active Sampling Sahil Sharma, Balaraman Ravindran

IJCAI 2017 Thresholding Bandits with Augmented UCB Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran

AAAI 2016 Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version) Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam

IJCAI 2015 CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks Vishnu Sankar, Balaraman Ravindran, S. Shivashankar

IJCAI 2015 Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran

NeurIPS 2014 An Autoencoder Approach to Learning Bilingual Word Representations A P Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha

JAIR 2013 Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality Tomasz P. Michalak, Aadithya V. Karthik, Piotr L. Szczepanski, Balaraman Ravindran, Nicholas R. Jennings

UAI 2011 Fractional Moments on Bandit Problems Ananda Narayanan B., Balaraman Ravindran

ICML 2008 On the Hardness of Finding Symmetries in Markov Decision Processes Shravan Matthur Narayanamurthy, Balaraman Ravindran

IJCAI 2007 Deictic Option Schemas Balaraman Ravindran, Andrew G. Barto, Vimal Mathew

IJCAI 2007 Efficiently Exploiting Symmetries in Real Time Dynamic Programming Shravan Matthur Narayanamurthy, Balaraman Ravindran

IJCAI 2007 Image Modeling Using Tree Structured Conditional Random Fields Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran

ICML 2003 Relativized Options: Choosing the Right Transformation Balaraman Ravindran, Andrew G. Barto

IJCAI 2003 SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes Balaraman Ravindran, Andrew G. Barto

NeurIPS 1998 Improved Switching Among Temporally Abstract Actions Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran