Reinforcement Learning

Balaraman Ravindran
Chandra Shekar Lakshminarayanan
Gugan Thoppe
Varun Balaji
Yelchuri Venkata Sai Harsha
Vishnu Vinod
Bavish Kulur
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Adhil Ahmed P M Shums
End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning
Shishir Avinash Nanoty
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
RBCDSAI Seminar by Prof. Gugan Thoppe
RBCDSAI Distinguished Fellow Colloquium by Prof. Sriram Natarajan
IBSE ARP Talk - Prof. Vijay Tiwari
Physics-Informed Model-Based Reinforcement Learning
Eighth RBCDSAI LatentView Colloquium by Dr. Rema Padman
RBCDSAI Seminar Series - Prof Lavanya Marla
RBCDSAI Seminar - Prof Madhav Marathe
RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains
RBCDSAI Seminar - Gugan Thoppe
Siddarth Chandrasekar
Extracting cues of causality from Medical text to mine factors related to Sjögren’s Syndrome
Devika Jay
An Active Learning Framework for Efficient Robust Policy Search
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Evolutionary Approach to Security Games with Signaling
Kartik Bharadwaj
RBCDSAI Seminar - Dr. Vivek Kumar
Improving Sample Efficiency in Evolutionary RL using Off-policy Ranking
Seventh RBCDSAI LatentView Colloquium by Prof. V. S. Subrahmanian
Causal Contextual Bandits with Targeted Interventions
RBCDSAI Seminar - Gugan Thoppe
Argha Boksi
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Abhor Gupta
CombSGPO: A new algorithm to protect wildlife
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
SEERL: Sample Efficient Ensemble Reinforcement Learning
An Enhanced Advising Model in Teacher-Student framework using State Categorization
Human-in-the-loop for Safe and Verifiable Reinforcement Learning
Attention Mechanisms in Deep Neural Networks
Learning With Limited Partial and Noisy Data
Ashutosh Dilipbhai Kakadiya
Dhruv Ramani
Debargha Bhattacharjee
Aravind Venugopal
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
Returaj Burnwal
Nishant Prabhu
Pavan Ravishankar
Jahnvi Patel
Harshavardhan P V
Chandrasekar Subramanian
Anand A R
Sivapriya Vellaichamy
Raghavendra Mallela
Manoj Bharadhwaj
Siddharth Nishtala
Safety and Stability Preserving Reinforcement Learning
Attention Mechanisms in Deep Neural Networks
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
RBCDSAI LatentView Colloquium Series
Dynamic Action Repetition for Deep Reinforcement Learning
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Dynamic frame skip deep q network
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