Meta-Learning

A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NeurIPS 2023 NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications NeurIPS 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023 Bootstrapped Meta-Learning ICLR 2022 CoMPS: Continual Meta Policy Search ICLR 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NeurIPS 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022 Meta-Imitation Learning by Watching Video Demonstrations ICLR 2022 Meta-Reinforcement Learning with Self-Modifying Networks NeurIPS 2022 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization ICLR 2022 Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022 On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NeurIPS 2022 Skill-based Meta-Reinforcement Learning ICLR 2022 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021 Fast Training Method for Stochastic Compositional Optimization Problems NeurIPS 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021