7 citations · 18 across the 7 of their papers we have counts for
8 papers
How Much Online RL is Enough? Informative Rollouts for Offline Preference Optimization in RLVR
Richa Verma, Balaraman Ravindran
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a powerful paradigm for reasoning in language models, with GRPO as its primary example. However, GRPO requires…
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
Richa Verma, Bavish Kulur, Sanjay Chawla +1
We address the problem of making a pre-trained reinforcement learning (RL) policy safety-aware by incorporating cost constraints without retraining it from scratch. While costs cou…
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
Richa Verma, Aniruddha Singhal, Harshad Khadilkar +5
We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving the online 3D bin packing problem for an arbitrary number of bins and any bin size. The focus is on produci…
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning
Somjit Nath, Richa Verma, Abhik Ray +1
We propose a generic reward shaping approach for improving the rate of convergence in reinforcement learning (RL), called Self Improvement Based REwards, or SIBRE. The approach is…
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
Hardik Meisheri, Omkar Shelke, Richa Verma +1
The Pommerman simulation was recently developed to mimic the classic Japanese game Bomberman, and focuses on competitive gameplay in a multi-agent setting. We focus on the 2$\times…
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report
Sagar Verma, Richa Verma, P. B. Sujit
In this paper, we consider a territory guarding game involving pursuers, evaders and a target in an environment that contains obstacles. The goal of the evaders is to capture the t…
DyPerm: Maximizing Permanence for Dynamic Community Detection
Prerna Agarwal, Richa Verma, Ayush Agarwal +1
In this paper, we propose DyPerm, the first dynamic community detection method which optimizes a novel community scoring metric, called permanence. DyPerm incrementally modifies th…
Indian Regional Movie Dataset for Recommender Systems
Prerna Agarwal, Richa Verma, Angshul Majumdar
Indian regional movie dataset is the first database of regional Indian movies, users and their ratings. It consists of movies belonging to 18 different Indian regional languages an…