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Katja Hofmann — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Katja Hofmann
23
papers ·
428
citations ·
32
h-index
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Most-cited papers
Meta Reinforcement Learning with Latent Variable Gaussian Processes
2018 · 105 citations
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
2019 · 65 citations
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
2019 · 57 citations
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
2019 · 54 citations
Better Exploration with Optimistic Actor-Critic
2019 · 35 citations
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
2016 · 23 citations
The Atari Grand Challenge Dataset
2017 · 21 citations
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
2019 · 20 citations
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
2018 · 9 citations
Evaluating the Robustness of Collaborative Agents
2021 · 8 citations
Variational Inference for Data-Efficient Model Learning in POMDPs
2018 · 7 citations
You May Not Need Ratio Clipping in PPO
2022 · 7 citations
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
2021 · 4 citations
Learning Safety Constraints from Demonstrations with Unknown Rewards
2023 · 4 citations
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
2020 · 3 citations
Top co-authors
Sam Devlin
· 6
Sebastian Tschiatschek
· 4
Kamil Ciosek
· 3
Maximilian Igl
· 3
Mingfei Sun
· 3
R\'emy Portelas
· 3
Shimon Whiteson
· 3
Pierre-Yves Oudeyer
· 2
Robert Loftin
· 2
Sebastian Nowozin
· 2
Vitaly Kurin
· 2
Aadirupa Saha
· 1
Topics
Game AI
Exploration
Meta-RL
Multi-Agent
Value-Based
Model-Based RL
Safe RL
Offline RL
Policy Gradient