Meta-Reinforcement Learning of Structured Exploration Strategies (Gupta et al., 2018) [PDF]
Learning invariant feature spaces to transfer skills with reinforcement learning (Gupta et al., 2017) [PDF]
Hindsight Experience Replay (Andrychowicz et al., 2017) [PDF]
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning (Higgins et al., 2017) [PDF]
Data-efficient deep reinforcement learning for dexterous manipulation (Popov et al., 2017) [PDF]
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (Chelsea Finn et al., 2017) [PDF]
Rainbow: Combining Improvements in Deep Reinforcement Learning (Hessel et al., 2017) [PDF]
Asynchronous Methods for Deep Reinforcement Learning (Mnih et al., 2016) [PDF]
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning (Parisotto et al., 2016) [PDF]
Representation Learning: A Review and New Perspectives (Bengio et al., 2014) [PDF]
Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines (Bou Ammar et al, 2013) [PDF]
Reinforcement learning transfer via sparse coding (Ammar et al., 2012) [PDF]
Transfer Learning (Torrey & Shavlik, 2009) [PDF]
Transfer Learning for Reinforcement Learning Domains: A Survey (Taylor & Stone, 2009) [PDF]
Autonomous Transfer for Reinforcement Learning (Taylor et al., 2008) [PDF]
Cross-Domain Transfer for Reinforcement Learning (Taylor et al., 2007) [PDF]
Policy invariance under reward transformations: Theory and application to reward shaping (Ng, Harada, Russell, 1999) [PDF]