Reinforcement Learning

Balaraman Ravindran
Chandrashekar Lakshminarayanan
Sriraam Natarajan
Yelchuri Venkata Sai Harsha
Vishnu Vinod
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
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Physics-Informed Model-Based Reinforcement Learning
Extracting cues of causality from Medical text to mine factors related to Sjögren’s Syndrome
Devika Jay
Evolutionary Approach to Security Games with Signaling
Improving Sample Efficiency in Evolutionary RL using Off-policy Ranking
Causal Contextual Bandits with Targeted Interventions
Scalable multi-product inventory control with lead time constraints using reinforcement learning
An Active Learning Framework for Efficient Robust Policy Search
Smooth Imitation Learning via Smooth Costs and Smooth Policies
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
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
Returaj Burnwal
Jahnvi Patel
Chandrasekar Subramanian
Siddharth Nishtala
Safety and Stability Preserving Reinforcement Learning
Attention Mechanisms in Deep Neural Networks
Attention Mechanisms in Deep Neural Networks
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
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