atlas

Research map / Continual learning / Online and replay-based

Experience Replay for Continual Learning

NeurIPS 2019 · Continual learning › Online and replay-based · approach: Replay buffer construction and update · 368 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CLEAR with replay and behavioral cloning instead of standard sequential trainingDMLab cyclic task sequence · DMLabcumulative performanceHelped
Use CLEAR instead of Progress & CompressAtari sequential task sequence · Ataricumulative performanceHelped
Use CLEAR instead of Elastic Weight ConsolidationAtari sequential task sequence · Ataricumulative performanceHelped
Add behavioral cloning losses to replay-based learning (ablation)CLEAR · DMLab cyclic task sequencecatastrophic forgettingHelped
Use off-policy replay in addition to new on-policy experience (ablation)CLEAR · DMLab cyclic task sequencecatastrophic forgettingHelped
Use 100% replay instead of a mixture of new and replay experience (ablation)CLEAR · DMLab cyclic task sequenceoverall performanceHurt
Use a 50-50 new-replay mixture instead of 100% replay (ablation)CLEAR · DMLab cyclic task sequenceoverall performanceHelped
Use 100% replay instead of a new-replay mixture (ablation)CLEAR · natlab_varying_map_randomized probe task introduced at different sequence positionsprobe-task performanceHurt
Reduce replay-buffer capacity to 5 million frames (ablation)CLEAR · DMLab sequence with 900 million environmental framesrobustness to catastrophic forgettingHurt
Use small replay buffers instead of a large buffer (ablation)CLEAR · DMLab sequence with 900 million environmental framesperformanceNo clear effect
Train sequentially without replay rather than with replay (ablation)Standard on-policy baseline · DMLab cyclic task sequencecatastrophic forgettingHurt
Train with replay and behavioral cloning rather than standard sequential trainingCLEAR · DMLab probe task introduced at different sequence positionsprobe-task performanceNo clear effect

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy