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• Local Search for Policy Iteration in Continuous Control
  2020 · 8 citations
• The Challenges of Exploration for Offline Reinforcement Learning
  2022 · 8 citations
• Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
  2019 · 6 citations
• Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
  2023 · 6 citations
• Learning Dynamics Models for Model Predictive Agents
  2021 · 4 citations
• On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
  2021 · 3 citations
• Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
  2024 · 2 citations
• Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
  2023 · 1 citations
• Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
  2024 · 1 citations
• Foundations For Transfer In Reinforcement Learning: A Taxonomy Of Knowledge Modalities
  2023
• Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
  2022
• Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
  2023
• Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
  2024