Cites: Bigger, Better, Faster: Human-level Atari with human-level efficiency

11 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.

• Deep Reinforcement Learning with Double Q-learning
  arxiv:1509.06461 · evidence: id
• Prioritized Experience Replay
  arxiv:1511.05952 · evidence: title
• Dueling Network Architectures for Deep Reinforcement Learning
  arxiv:1511.06581 · evidence: title
• A Distributional Perspective on Reinforcement Learning
  arxiv:1707.06887 · evidence: title
• Rainbow: Combining Improvements in Deep Reinforcement Learning
  arxiv:1710.02298 · evidence: id
• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
  arxiv:2005.01643 · evidence: id
• Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
  arxiv:2011.14826 · evidence: title
• The Primacy Bias in Deep Reinforcement Learning
  arxiv:2205.07802 · evidence: title
• Mastering Diverse Domains through World Models
  arxiv:2301.04104 · evidence: id
• Sample-Efficient RL by Breaking the Replay Ratio Barrier (ICLR 2023, precursor of BBF)
  openreview:OpC-9aBBVJe · evidence: url
• MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
  url:minedojo.org · evidence: title