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Rishabh Agarwal — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Rishabh Agarwal
26
papers ·
353
citations ·
16
h-index
Adesh University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An Optimistic Perspective on Offline Reinforcement Learning
2019 · 95 citations
Revisiting Fundamentals of Experience Replay
2020 · 83 citations
Learning to Generalize from Sparse and Underspecified Rewards
2019 · 46 citations
Deep Reinforcement Learning at the Edge of the Statistical Precipice
2021 · 41 citations
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
2021 · 27 citations
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
2020 · 9 citations
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
2020 · 7 citations
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
2021 · 6 citations
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
2022 · 6 citations
Training Language Models to Self-Correct via Reinforcement Learning
2024 · 6 citations
On the Generalization of Representations in Reinforcement Learning
2022 · 5 citations
Bigger, Better, Faster: Human-level Atari with human-level efficiency
2023 · 5 citations
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes
2022 · 3 citations
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
2024 · 3 citations
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
2024 · 3 citations
Top co-authors
Aviral Kumar
· 6
Pablo Samuel Castro
· 6
Marc G. Bellemare
· 5
Aaron Courville
· 4
Sergey Levine
· 4
Charline Le Lan
· 3
George Tucker
· 3
Max Schwarzer
· 3
Mohammad Norouzi
· 3
Aleksandra Faust
· 2
Cosmin Păduraru
· 2
Dale Schuurmans
· 2
Topics
Value-Based
Game AI
Offline RL
Meta-RL
RLHF & Alignment
Policy Gradient
Exploration
Model-Based RL
cs.CL
cs.PL