DQN Replay Dataset

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Conservative Q-Learning for Offline Reinforcement Learning
  8 Jun 2020 18 repositories listed Syntology ran 24 of 34 samples · 10 unverified · 5 pointer-only (licence)
  We theoretically show that CQL produces a lower bound on the value of the current policy and that it can be incorporated into a policy learning procedure with theoretical improvement guarantees.
• Acme: A Research Framework for Distributed Reinforcement Learning
  1 Jun 2020 5 repositories listed
  These implementations serve both as a validation of our design decisions as well as an important contribution to reproducibility in RL research.
• Revisiting Fundamentals of Experience Replay
  13 Jul 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Experience replay is central to off-policy algorithms in deep reinforcement learning (RL), but there remain significant gaps in our understanding.
• RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
  24 Jun 2020 2 repositories listed
  We hope that our suite of benchmarks will increase the reproducibility of experiments and make it possible to study challenging tasks with a limited computational budget, thus making RL research both more systematic and…
• An Optimistic Perspective on Offline Deep Reinforcement Learning
  1 Jan 2020 1 repository listed
  The DQN replay dataset can serve as an offline RL benchmark and is open-sourced.
• An Optimistic Perspective on Offline Reinforcement Learning
  10 Jul 2019 1 repository listed
  The DQN replay dataset can serve as an offline RL benchmark and is open-sourced.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.