Research map / Continual learning / Online and replay-based
Experience Replay for Continual Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CLEAR with replay and behavioral cloning instead of standard sequential training | DMLab cyclic task sequence · DMLab | cumulative performance | Helped |
| Use CLEAR instead of Progress & Compress | Atari sequential task sequence · Atari | cumulative performance | Helped |
| Use CLEAR instead of Elastic Weight Consolidation | Atari sequential task sequence · Atari | cumulative performance | Helped |
| Add behavioral cloning losses to replay-based learning (ablation) | CLEAR · DMLab cyclic task sequence | catastrophic forgetting | Helped |
| Use off-policy replay in addition to new on-policy experience (ablation) | CLEAR · DMLab cyclic task sequence | catastrophic forgetting | Helped |
| Use 100% replay instead of a mixture of new and replay experience (ablation) | CLEAR · DMLab cyclic task sequence | overall performance | Hurt |
| Use a 50-50 new-replay mixture instead of 100% replay (ablation) | CLEAR · DMLab cyclic task sequence | overall performance | Helped |
| Use 100% replay instead of a new-replay mixture (ablation) | CLEAR · natlab_varying_map_randomized probe task introduced at different sequence positions | probe-task performance | Hurt |
| Reduce replay-buffer capacity to 5 million frames (ablation) | CLEAR · DMLab sequence with 900 million environmental frames | robustness to catastrophic forgetting | Hurt |
| Use small replay buffers instead of a large buffer (ablation) | CLEAR · DMLab sequence with 900 million environmental frames | performance | No clear effect |
| Train sequentially without replay rather than with replay (ablation) | Standard on-policy baseline · DMLab cyclic task sequence | catastrophic forgetting | Hurt |
| Train with replay and behavioral cloning rather than standard sequential training | CLEAR · DMLab probe task introduced at different sequence positions | probe-task performance | No clear effect |
Closest papers by meaning
- Predicting the Susceptibility of Examples to Catastrophic Forgetting (ICML 2025 · similarity 0.89)
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- Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning (NeurIPS 2026 · similarity 0.89)
- Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization (ICML 2024 · similarity 0.89)
- Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off (AAAI 2025 · similarity 0.88)
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