Prioritized Experience Replay.¶
Schaul, T., Quan, J., Antonoglou, I., & Silver, D. (2016). Prioritized Experience Replay. International Conference on Learning Representations (ICLR).
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Replay
- Neuroscience (origin) — hippocampal place-cell sequences from waking activity reappear time-compressed during slow-wave sleep and quiet wakefulness, causally implicated in memory consolidation and spatial planning. Reinforcement learning — experience-replay buffers store transitions during interaction and resample them off-policy during training; prioritized replay reweights by temporal-difference error, and replay is what stabilized deep RL.
This sourceReweights replay sampling by temporal-difference error under a bounded budget, with importance-sampling correction for the induced bias.
- Neuroscience (origin) — hippocampal place-cell sequences from waking activity reappear time-compressed during slow-wave sleep and quiet wakefulness, causally implicated in memory consolidation and spatial planning. Reinforcement learning — experience-replay buffers store transitions during interaction and resample them off-policy during training; prioritized replay reweights by temporal-difference error, and replay is what stabilized deep RL.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:6baa83257a6d · see in the full table