Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. [pdf]
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning. [pdf]
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning. [pdf]
Supervised Policy Update for Deep Reinforcement Learning. [pdf]
Self-supervised Learning of Image Embedding for Continuous Control. [pdf]
Domain Adaptation for Reinforcement Learning on the Atari. [pdf]
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search. [[pdf]](A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search)
An Investigation of Model-free Planning. [pdf]
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator. [pdf]
Accelerated Methods for Deep Reinforcement Learning. [pdf]