experience replay

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation NeurIPS 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021 Lifelong Domain Adaptation via Consolidated Internal Distribution NeurIPS 2021 Lifelong Explainer for Lifelong Learners EMNLP 2021 Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems NeurIPS 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay AAAI 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) AAAI 2021 Streaming Linear System Identification with Reverse Experience Replay NeurIPS 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay NeurIPS 2020 A Theoretical Analysis of Deep Q-Learning L4DC 2020 Attentive Experience Replay AAAI 2020 Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Dark Experience for General Continual Learning: a Strong, Simple Baseline NeurIPS 2020 Distill and Replay for Continual Language Learning COLING 2020 Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020