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Ching-An Cheng — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ching-An Cheng
21
papers ·
127
citations ·
20
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Fast Policy Learning through Imitation and Reinforcement
2018 · 44 citations
Bellman-consistent Pessimism for Offline Reinforcement Learning
2021 · 16 citations
Heuristic-Guided Reinforcement Learning
2021 · 14 citations
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation
2021 · 7 citations
Adversarially Trained Actor Critic for Offline Reinforcement Learning
2022 · 7 citations
Hindsight Learning for MDPs with Exogenous Inputs
2022 · 5 citations
Adversarial Model for Offline Reinforcement Learning
2023 · 4 citations
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
2019 · 3 citations
A Reduction from Reinforcement Learning to No-Regret Online Learning
2019 · 3 citations
RMP2: A Structured Composable Policy Class for Robot Learning
2021 · 3 citations
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
2024 · 2 citations
Predictor-Corrector Policy Optimization
2018 · 1 citations
Improving Offline RL by Blending Heuristics
2023 · 1 citations
Survival Instinct in Offline Reinforcement Learning
2023 · 1 citations
Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation
2022
Top co-authors
Byron Boots
· 7
Tengyang Xie
· 5
Alekh Agarwal
· 3
Andrey Kolobov
· 3
Xinyan Yan
· 3
Anqi Li
· 2
Mohak Bhardwaj
· 2
Nan Jiang
· 2
Nathan Ratliff
· 2
Adith Swaminathan
· 1
Adith Swaminathan
· 1
Ahmed Awadallah
· 1
Topics
Offline RL
Model-Based RL
Value-Based
Policy Gradient
Exploration
Meta-RL
Safe RL
Game AI
RLHF & Alignment