My notes on read DL/RL papers. The list is fully biased towards my interests.
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation, 2016
- Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints, 2017
- EX2: Exploration with Exemplar Models for Deep Reinforcement Learning, 2017
- Optimizing Neural Networks with Kronecker-factored Approximate Curvature, 2015
- Deterministic Policy Gradients, 2014
- Continuous Control with Deep Reinforcement Learning (DDPG), 2015
- Q-Prop: Sample-Efficient Policy Gradient with an Off-Policy Critic, 2016