conftrace_

replay buffer

27 papers

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Co-occurring keywords

continual learning (1181) catastrophic forgetting (958) reinforcement learning (4352) sample efficiency (472) experience replay (99) deep reinforcement learning (903) goal-conditioned policy (36) sparse reward (141) goal-conditioned reinforcement learning (40) entropy regularization (132)

Papers

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 2026
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations WACV 2025
Learning World Models for Unconstrained Goal Navigation NIPS 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
Improved off-policy training of diffusion samplers NIPS 2024
On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023
Regularizing Second-Order Influences for Continual Learning CVPR 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CORL 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States CORL 2023
GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning CVPR 2022
Retrospective Adversarial Replay for Continual Learning NIPS 2022
Analysis of Stochastic Processes through Replay Buffers ICML 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning NIPS 2022
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) AAAI 2021
Sim and Real: Better Together NIPS 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CORL 2021
Collect & Infer - a fresh look at data-efficient Reinforcement Learning CORL 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay ICCV 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NIPS 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020
Gradient based sample selection for online continual learning NIPS 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019
Importance Resampling for Off-policy Prediction NIPS 2019