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Keith Ross — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Keith Ross
18
papers ·
119
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
2019 · 40 citations
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
2019 · 31 citations
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
2021 · 26 citations
Multi-task Batch Reinforcement Learning with Metric Learning
2019 · 10 citations
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
2020 · 5 citations
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
2022 · 5 citations
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings
2025 · 1 citations
On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs
2022 · 1 citations
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
2026
Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?
2025
Is Optimal Transport Necessary for Inverse Reinforcement Learning?
2025
Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning
2025
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
2023
Top co-authors
Che Wang
· 7
Zixuan Dong
· 4
Anubhav Shrestha
· 3
Minwu Kim
· 3
Safal Shrestha
· 3
Aadim Nepal
· 2
Xinyue Chen
· 2
Yumi Omori
· 2
Zijian Zhou
· 2
Dongsheng Li
· 1
Hao Su
· 1
Henrik Iskov Christensen
· 1
Topics
Value-Based
Offline RL
RLHF & Alignment
Exploration
Model-Based RL
Meta-RL
cs.CL
cs.LG
cs.AI
Policy Gradient