Co-occurring keywords · papers mentioning both
Papers
EE-RL: Vision Language Guided Reinforcement Learning with Explorer and Expert model for End-to-End Autonomous Driving
CVPR 2026
Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance
CVPR 2026
Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
MIDL 2026
Predicting the Susceptibility of Examples to Catastrophic Forgetting
ICML 2025
Prioritized Generative Replay
ICLR 2025
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
ICML 2025
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
WACV 2025
Adversarial Imitation Learning via Boosting
ICLR 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
NeurIPS 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Learning World Models for Unconstrained Goal Navigation
NeurIPS 2024
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States
CoRL 2023
On the Reuse Bias in Off-Policy Reinforcement Learning
IJCAI 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
CoRL 2023
Regularizing Second-Order Influences for Continual Learning
CVPR 2023
Analysis of Stochastic Processes through Replay Buffers
ICML 2022
GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning
CVPR 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
NeurIPS 2022
Retrospective Adversarial Replay for Continual Learning
NeurIPS 2022
Collect & Infer - a fresh look at data-efficient Reinforcement Learning
CoRL 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
ICCV 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
ICML 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
NeurIPS 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
CoRL 2021
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
ICLR 2021