Sharath Chandra Raparthy
Sharath Chandra Raparthy
Meta AI
Verified email at - Homepage
Cited by
Cited by
Multi-objective gflownets
M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ...
International conference on machine learning, 14631-14653, 2023
Curriculum in Gradient-Based Meta-Reinforcement Learning
B Mehta, T Deleu, SC Raparthy, CJ Pal, L Paull
arXiv preprint arXiv:2002.07956, 2020
Compositional Attention: Disentangling Search and Retrieval
S Mittal, SC Raparthy, I Rish, Y Bengio, G Lajoie
arXiv preprint arXiv:2110.09419, 2021
Rainbow teaming: Open-ended generation of diverse adversarial prompts
M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ...
arXiv preprint arXiv:2402.16822, 2024
Teaching large language models to reason with reinforcement learning
A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ...
arXiv preprint arXiv:2403.04642, 2024
ML reproducibility challenge 2021
K Sinha, J Dodge, S Luccioni, JZ Forde, SC Raparthy, J Pineau, R Stojnic
ReScience C 8 (2), # 48, 2022
Generating automatic curricula via self-supervised active domain randomization
SC Raparthy, B Mehta, F Golemo, L Paull
arXiv preprint arXiv:2002.07911, 2020
Continual learning in environments with polynomial mixing times
M Riemer, SC Raparthy, I Cases, G Subbaraj, M Puelma Touzel, I Rish
Advances in Neural Information Processing Systems 35, 21961-21973, 2022
Data Efficient Stagewise Knowledge Distillation
A Kulkarni, N Panchi, SC Raparthy, S Chiddarwar
arXiv preprint arXiv:1911.06786, 2019
Generalization to New Sequential Decision Making Tasks with In-Context Learning
SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu
arXiv preprint arXiv:2312.03801, 2023
Glore: When, where, and how to improve llm reasoning via global and local refinements
A Havrilla, S Raparthy, C Nalmpantis, J Dwivedi-Yu, M Zhuravinskyi, ...
arXiv preprint arXiv:2402.10963, 2024
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.
M Godbout, M Heuillet, SC Raparthy, R Bhati, A Durand
SafeAI@ AAAI, 2022
CuNAS Curiosity-driven Neural-Augmented Simulator
SC Raparthy, M Mozifian, L Paull, F Golemo
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics. RSS, 2020
Llama 3 Model Card
AI Meta, 2024
Explicit Sequence Proximity Models for Hidden State Identification
TD Anil Kota, SC Raparthy, Parag Khanna
Thirty-second Conference on Neural Information Processing Systems (NeurIPS …, 2018
Learning to Solve New sequential decision-making Tasks with In-Context Learning
SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu
NeurIPS 2023 Foundation Models for Decision Making Workshop, 0
The system can't perform the operation now. Try again later.
Articles 1–16