Katja Hofmann

1. VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
   2019/10/18 by Luisa Zintgraf, Kyriacos Shiarlis, Zintgraf, Luisa +11 · 1 voice · 13 citations
   Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #cs.LG #stat.ML
2. Contextual Dueling Bandits
   2015/02/23 by Miroslav Dudı́k, Katja Hofmann, Dudík, Miroslav +7 · 12 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Auction Theory and Applications
3. Meta Reinforcement Learning with Latent Variable Gaussian Processes
   2018/03/20 by Steindór Sæmundsson, Sæmundsson, Steindór, Katja Hofmann +3 · 17 citations
   Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
   2019/10/16 by Rémy Portelas, Cédric Colas, Portelas, Rémy +6 · 8 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Online Learning and Analytics #Reinforcement Learning in Robotics #Robotics (cs.RO) #Teaching and Learning Programming
5. Generalization in Reinforcement Learning with Selective Noise Injection\n and Information Bottleneck
   2019/10/28 by Maximilian Igl, Kamil Ciosek, Igl, Maximilian +11 · 7 citations
   Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
6. Scaling Laws for Pre-training Agents and World Models
   2024/11/07 by Tim Pearce, Pearce, Tim, Tabish Rashid +9 · 1 voice · 5 citations
   #cs.LG #cs.AI
7. Fast Context Adaptation via Meta-Learning
   2018/10/08 by Luisa Zintgraf, Zintgraf, Luisa M, Kyriacos Shiarlis +7 · 5 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
8. "It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities\n for Creating Agents in Commercial Games
   2020/09/01 by Mikhail Jacob, Sam Devlin, Jacob, Mikhail +3 · 2 citations
   Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #Educational Games and Gamification #FOS: Computer and information sciences
9. TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
   2021/03/17 by Clément Romac, Rémy Portelas, Romac, Clément +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning
10. Transformer Neural Autoregressive Flows
    2024/01/03 by Massimiliano Patacchiola, Patacchiola, Massimiliano, Aliaksandra Shysheya +5 · 3 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications
11. The Atari Grand Challenge Dataset
    2017/05/31 by Vitaly Kurin, Sebastian Nowozin, Kurin, Vitaly +7 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Reinforcement Learning in Robotics
12. Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
    2018/10/15 by David M. Janz, Janz, David, Jiri Hron +8 · 1 citation
    Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
13. Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
    2021/12/11 by Mingfei Sun, Sun, Mingfei, Sam Devlin +5 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Robot Manipulation and Learning
14. You May Not Need Ratio Clipping in PPO
    2022/01/31 by Mingfei Sun, Vitaly Kurin, Sun, Mingfei +11 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
15. Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games
    2026/07/15 by Somjit Nath, Abdelhak Lemkhenter, Pallavi Choudhury +4
    #cs.LG