multi-task reinforcement learning

MT3: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation ACL 2026 MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL ICLR 2025 QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing ICLR 2025 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation IJCAI 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling ICML 2024 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts ICLR 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Adversarial Online Multi-Task Reinforcement Learning ALT 2023 A State Representation for Diminishing Rewards NeurIPS 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Cross-Episodic Curriculum for Transformer Agents NeurIPS 2023 Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning NeurIPS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Minimum Description Length Control ICLR 2023 Understanding the Complexity Gains of Single-Task RL with a Curriculum ICML 2023 A Modern Self-Referential Weight Matrix That Learns to Modify Itself ICML 2022 Hindsight Foresight Relabeling for Meta-Reinforcement Learning ICLR 2022 Learning Options via Compression NeurIPS 2022