← authors · overview

• On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
  2021 · 33 citations
• Contextualize Me -- The Case for Context in Reinforcement Learning
  2022 · 9 citations
• TempoRL: Learning When to Act
  2021 · 6 citations
• Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
  2021 · 5 citations
• Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
  2019 · 4 citations
• Sample-Efficient Automated Deep Reinforcement Learning
  2020 · 4 citations
• Self-Paced Context Evaluation for Contextual Reinforcement Learning
  2021 · 3 citations
• CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
  2021 · 3 citations
• Agentic NL2SQL to Reduce Computational Costs
  2025
• Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks
  2025
• Learning Heuristic Selection with Dynamic Algorithm Configuration
  2020
• Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
  2022
• Learning Synthetic Environments and Reward Networks for Reinforcement Learning
  2022
• One-shot World Models Using a Transformer Trained on a Synthetic Prior
  2024
• ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
  2024