26 citations · 44 across the 17 of their papers we have counts for
4 papers · 1 filter
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
Aditya Kapoor, Sushant Swamy, Kale-ab Tessera +4
In multi-agent environments, agents often struggle to learn optimal policies due to sparse or delayed global rewards, particularly in long-horizon tasks where it is challenging to…
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
Kushal Chakrabarti, Mayank Baranwal
Continuous-time models can reveal accelerated structures in distributed optimization, but their rates need not survive direct discretization. We introduce a second-order primal--du…
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
Kushal Chakrabarti, Mayank Baranwal
Adaptive gradient-descent optimizers are the standard choice for training neural network models. Despite their faster convergence than gradient-descent and remarkable performance i…
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots
Ajnabiul Hoque, Manajit Das, Mayank Baranwal +1
A chemical reaction mechanism (CRM) is a sequence of molecular-level events involving bond-breaking/forming processes, generating transient intermediates along the reaction pathway…