← Methods
Reinforcement Learning › Methods ›

Meta-Learning

25 directly classified papers

Papers per year

Papers

Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation IJCAI 2024
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NIPS 2024
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NIPS 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NIPS 2023
Quantum Multi-Agent Meta Reinforcement Learning AAAI 2023
Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NIPS 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022
Meta-Reinforcement Learning with Self-Modifying Networks NIPS 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NIPS 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020
Guided Meta-Policy Search NIPS 2019