Christoph Dann

1. A Minimaximalist Approach to Reinforcement Learning from Human Feedback
   2024/01/08 by Gokul Swamy, Swamy, Gokul, Christoph Dann +7 · 1 voice · 13 citations
   Social Sciences · Decision Sciences · #Experimental Behavioral Economics Studies #Decision-Making and Behavioral Economics
2. Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
   2015/10/29 by Christoph Dann, Emma Brunskill, Dann, Christoph +1 · 5 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
3. Thoughts on Massively Scalable Gaussian Processes
   2015/11/05 by Andrew Gordon Wilson, Wilson, Andrew Gordon, Christoph Dann +3 · 3 citations
   Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Advanced Thermodynamics and Statistical Mechanics #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
4. Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
   2024/07/22 by Kaiwen Wang, Wang, Kaiwen, Rahul Kidambi +36 · 8 citations
   Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Linguistic research and analysis #Machine Learning (cs.LG) #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation
5. Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
   2022/06/19 by Christoph Dann, Yishay Mansour, Dann, Christoph +7 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
6. Same Cause; Different Effects in the Brain
   2022/02/21 by Mariya Toneva, Toneva, Mariya, Jennifer Williams +7 · 2 citations
   Neuroscience · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
7. On Oracle-Efficient PAC RL with Rich Observations
   2018/03/01 by Christoph Dann, Dann, Christoph, Nan Jiang +9 · 1 citation
   Computer Science · Decision Sciences · #Auction Theory and Applications #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
8. Regret Bound Balancing and Elimination for Model Selection in Bandits\n and RL
   2020/12/23 by Aldo Pacchiano, Pacchiano, Aldo, Christoph Dann +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Other Statistics (stat.OT) #Reinforcement Learning in Robotics