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• Safe Model-based Reinforcement Learning with Stability Guarantees
  2017 · 337 citations
• Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
  2016 · 68 citations
• Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
  2019 · 52 citations
• Safe Reinforcement Learning via Curriculum Induction
  2020 · 41 citations
• Risk-Averse Offline Reinforcement Learning
  2021 · 15 citations
• Information-Directed Exploration for Deep Reinforcement Learning
  2018 · 11 citations
• Constrained Policy Optimization via Bayesian World Models
  2022 · 11 citations
• Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
  2020 · 8 citations
• Active Exploration for Inverse Reinforcement Learning
  2022 · 6 citations
• Learning Safety Constraints from Demonstrations with Unknown Rewards
  2023 · 4 citations
• Safe Reinforcement Learning via Confidence-Based Filters
  2022 · 3 citations
• Leveraging Demonstrations with Latent Space Priors
  2022 · 2 citations
• Provably Learning Nash Policies in Constrained Markov Potential Games
  2023 · 2 citations
• Logistic Q-Learning
  2020 · 1 citations
• Hierarchical Skills for Efficient Exploration
  2021 · 1 citations