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Rishabh Agarwal
Rishabh Agarwal
1
Affiliations
Affiliations
Google Research, Brain Team
12
papers
2,209
total citations
papers (12)
Deep Reinforcement Learning at the Edge of the Statistical Precipice
NEURIPS 2021
arXiv
814
citations
Neural Additive Models: Interpretable Machine Learning with Neural Nets
NEURIPS 2021
arXiv
537
citations
Training Language Models to Self-Correct via Reinforcement Learning
ICLR 2025
arXiv
324
citations
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
NEURIPS 2023
arXiv
163
citations
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
arXiv
107
citations
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
NEURIPS 2022
arXiv
85
citations
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
NEURIPS 2020
arXiv
73
citations
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
ICLR 2025
arXiv
49
citations
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
ICLR 2025
arXiv
43
citations
Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers
COLM 2025
arXiv
13
citations
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
ICML 2024
arXiv
1
citations
Towards Compute-Optimal Many-Shot In-Context Learning
COLM 2025
arXiv
0
citations