Meta-Learning

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms ICLR 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation IJCAI 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 In-Context Learning Agents Are Asymmetric Belief Updaters ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces ICML 2024 Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds ICML 2024 Learning to Explore in POMDPs with Informational Rewards ICML 2024 MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024 Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills CoRL 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models CoRL 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 Policy-conditioned Environment Models are More Generalizable ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Refining Minimax Regret for Unsupervised Environment Design ICML 2024 Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms ICML 2024 Test-Time Regret Minimization in Meta Reinforcement Learning ICML 2024 Think Before You Act: Decision Transformers with Working Memory ICML 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024