Sharath Chandra Raparthy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Document Search

Multiagent Evolutionary Algorithm

Reinforcement Learning

Sequential Decision Making

Top Venues

Publications

Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. CoRR (2024)
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR (2024)
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR (2024)
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR (2023)
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
Multi-Objective GFlowNets. ICML (2023)
Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning. SafeAI@AAAI (2022)
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie
Compositional Attention: Disentangling Search and Retrieval. ICLR (2022)
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
Multi-Objective GFlowNets. CoRR (2022)
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
Continual Learning In Environments With Polynomial Mixing Times. NeurIPS (2022)
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
Continual Learning In Environments With Polynomial Mixing Times. CoRR (2021)
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie
Compositional Attention: Disentangling Search and Retrieval. CoRR (2021)
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR (2020)
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull
Generating Automatic Curricula via Self-Supervised Active Domain Randomization. CoRR (2020)