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Christoph Dann

30 papers · 2014–2025 · 9 venues · across top CS/AI venues

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (14) πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ† Keyword Champion (3) 🧭 Keyword Pioneer ⚑ Prolific Year Β· Productive πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Silver ❓ The Questioner πŸ—ƒοΈ Keyword Collector (142) πŸš€ Conference Pioneer 🌈 Renaissance Researcher (6) πŸ’Ž Century Club Β· Bronze

Papers

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective ICML 2025 Design Considerations in Offline Preference-based RL ICML 2025 Rate-Preserving Reductions for Blackwell Approachability COLT 2025 A Minimaximalist Approach to Reinforcement Learning from Human Feedback ICML 2024 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024 A Unified Algorithm for Stochastic Path Problems ALT 2023 Best of Both Worlds Policy Optimization ICML 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Pseudonorm Approachability and Applications to Regret Minimization ALT 2023 Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023 A Model Selection Approach for Corruption Robust Reinforcement Learning ALT 2022 Best of Both Worlds Model Selection NeurIPS 2022 Same Cause; Different Effects in the Brain CLeaR 2022 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NeurIPS 2021 Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NeurIPS 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Reinforcement Learning with Feedback Graphs NeurIPS 2020 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 Decoupling Gradient-Like Learning Rules from Representations ICML 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NeurIPS 2017 Energetic Natural Gradient Descent ICML 2016 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 The Human Kernel NeurIPS 2015 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014