multi-task reinforcement learning

Multi-Critic Actor Learning: Teaching RL Policies to Act with Style ICLR 2022 PaCo: Parameter-Compositional Multi-task Reinforcement Learning NeurIPS 2022 Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning NeurIPS 2022 A decentralized policy gradient approach to multi-task reinforcement learning UAI 2021 Learning Robust State Abstractions for Hidden-Parameter Block MDPs ICLR 2021 Multi-Task Reinforcement Learning with Context-based Representations ICML 2021 My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control ICLR 2021 Provably efficient multi-task reinforcement learning with model transfer NeurIPS 2021 Scaling Up Multi-Task Robotic Reinforcement Learning CoRL 2021 TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 Generalized Hindsight for Reinforcement Learning NeurIPS 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 Experience Replay for Continual Learning NeurIPS 2019 Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019 Sharing Experience in Multitask Reinforcement Learning IJCAI 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning ICLR 2018 Distral: Robust multitask reinforcement learning NeurIPS 2017 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009