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• Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  2022 · 24 citations
• Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
  2021 · 13 citations
• Dynamic Bottleneck for Robust Self-Supervised Exploration
  2021 · 13 citations
• Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
  2023 · 12 citations
• RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
  2022 · 10 citations
• Principled Exploration via Optimistic Bootstrapping and Backward Induction
  2021 · 7 citations
• Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
  2022 · 3 citations
• Behavior Contrastive Learning for Unsupervised Skill Discovery
  2023 · 3 citations
• Cross-Domain Policy Adaptation via Value-Guided Data Filtering
  2023 · 3 citations
• Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning