Reinforcement learning — page 1

• 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
  arxiv:2503.14858 · 2025-03-19 · text available
• A Distributional Perspective on Reinforcement Learning
  arxiv:1707.06887 · 2017-07-21 · text available
• A Minimalist Approach to Offline Reinforcement Learning
  arxiv:2106.06860 · 2021-06-12 · text available
• Addressing Function Approximation Error in Actor-Critic Methods
  arxiv:1802.09477 · 2018-02-26 · text available
• Benchmarking Batch Deep Reinforcement Learning Algorithms
  arxiv:1910.01708 · 2019-10-03 · text available
• Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
  arxiv:2411.03820 · 2024-11-06 · text available
• Bigger, Better, Faster: Human-level Atari with human-level efficiency
  arxiv:2305.19452 · 2023-05-30 · text available
• CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
  arxiv:2509.09675 · 2025-09-11 · text available
• Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
  arxiv:1712.06567 · 2017-12-18 · text available
• Deep Reinforcement Learning with Double Q-learning
  arxiv:1509.06461 · 2015-09-22 · text available
• Diffusion for World Modeling: Visual Details Matter in Atari
  url:diamond-wm.github.io · 2024-05-20 · metadata only
• Dueling Network Architectures for Deep Reinforcement Learning
  arxiv:1511.06581 · 2015-11-20 · text available
• First return, then explore
  arxiv:2004.12919 · 2020-04-27 · text available
• For SALE: State-Action Representation Learning for Deep Reinforcement Learning
  arxiv:2306.02451 · 2023-06-04 · text available
• In-Context Reinforcement Learning for Variable Action Spaces
  arxiv:2312.13327 · 2023-12-20 · text available
• Mastering Diverse Domains through World Models
  arxiv:2301.04104 · 2023-01-10 · text available
• Metalearning Continual Learning Algorithms
  arxiv:2312.00276 · 2023-12-01 · text available
• Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
  arxiv:2005.01643 · 2020-05-04 · text available
• Prioritized Experience Replay
  arxiv:1511.05952 · 2015-11-18 · text available
• Q-Learning With World Models
  arxiv:2608.17163 · 2026-08-17 · text available
• Rainbow: Combining Improvements in Deep Reinforcement Learning
  arxiv:1710.02298 · 2017-10-06 · text available
• Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
  arxiv:2011.14826 · 2020-11-20 · text available
• Sample-Efficient RL by Breaking the Replay Ratio Barrier (ICLR 2023, precursor of BBF)
  openreview:OpC-9aBBVJe · 2022-09-28 · text available
• Self-Improving World Modelling with Latent Actions
  arxiv:2602.06130 · 2026-02-05 · text available