Dann, Christoph
- A Minimaximalist Approach to Reinforcement Learning from Human Feedback
2024/01/08 by Gokul Swamy, Christoph Dann, Swamy, Gokul +7 · 1 voice · 13 citations
Social Sciences · Decision Sciences · #Experimental Behavioral Economics Studies #Decision-Making and Behavioral Economics
- 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
- Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
2021/07/02 by Dann, Christoph, Marinov, Teodor V., Mohri, Mehryar +1 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
2017/03/22 by Dann, Christoph, Lattimore, Tor, Brunskill, Emma · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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)
- 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
- A Model Selection Approach for Corruption Robust Reinforcement Learning
2021/10/07 by Wei, Chen-Yu, Dann, Christoph, Zimmert, Julian · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Blackbox Approach to Best of Both Worlds in Bandits and Beyond
2023/02/20 by Dann, Christoph, Wei, Chen-Yu, Zimmert, Julian · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- Data-Driven Online Model Selection With Regret Guarantees
2023/06/05 by Pacchiano, Aldo, Dann, Christoph, Gentile, Claudio · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Policy Certificates: Towards Accountable Reinforcement Learning
2018/11/07 by Dann, Christoph, Li, Lihong, Wei, Wei +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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)
- Sample Efficient Policy Search for Optimal Stopping Domains
2017/02/21 by Goel, Karan, Dann, Christoph, Brunskill, Emma · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- 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
- 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
- Best of Both Worlds Model Selection
2022/06/29 by Pacchiano, Aldo, Dann, Christoph, Gentile, Claudio · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning in POMDPs is Sample-Efficient with Hindsight Observability
2023/01/31 by Lee, Jonathan N., Agarwal, Alekh, Dann, Christoph +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Best of Both Worlds Policy Optimization
2023/02/18 by Dann, Christoph, Wei, Chen-Yu, Zimmert, Julian · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)