meta-reinforcement learning

On task-relevant loss functions in meta-reinforcement learning L4DC 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning NeurIPS 2024 Test-Time Regret Minimization in Meta Reinforcement Learning ICML 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 Human-Timescale Adaptation in an Open-Ended Task Space ICML 2023 Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 ODE-based Recurrent Model-free Reinforcement Learning for POMDPs NeurIPS 2023 On Adaptivity and Safety in Sequential Decision Making IJCAI 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NeurIPS 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning NeurIPS 2023 Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy AAAI 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NeurIPS 2022