← Methods
Reinforcement Learning › Methods ›

Deep RL

3861 directly classified papers

Papers per year

Papers

Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning IJCAI 2018
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NIPS 2018
Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning EMNLP 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NIPS 2018
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search NIPS 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NIPS 2018
The Importance of Sampling inMeta-Reinforcement Learning NIPS 2018
Is Q-Learning Provably Efficient? NIPS 2018
Towards one-shot learning for rare-word translation with external experts ACL 2018
Deep Reinforcement Learning for NLP ACL 2018
Reinforced Extractive Summarization with Question-Focused Rewards ACL 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ACL 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning ACL 2018
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018
Genetic-Gated Networks for Deep Reinforcement Learning NIPS 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NIPS 2018
Data-Efficient Hierarchical Reinforcement Learning NIPS 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NIPS 2018
A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018