sample efficiency

LLM-Empowered State Representation for Reinforcement Learning ICML 2024 MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024 Multi-Objective Neural Architecture Search by Learning Search Space Partitions JMLR 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL ICML 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ICLR 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024 Recurrent Reinforcement Learning with Memoroids NeurIPS 2024 Reflective Policy Optimization ICML 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Revisiting Data Augmentation in Deep Reinforcement Learning ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024 Reward Machines for Deep RL in Noisy and Uncertain Environments NeurIPS 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 Robust Model Based Reinforcement Learning Using L_1 Adaptive Control ICLR 2024 Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior ACML 2024