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Deep RL

3861 directly classified papers

Papers per year

Papers

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018
A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU) INTERSPEECH 2018
Reinforced Continual Learning NIPS 2018
Scalar Posterior Sampling with Applications NIPS 2018
Reward learning from human preferences and demonstrations in Atari NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018
Learning Temporal Point Processes via Reinforcement Learning NIPS 2018
Temporal Regularization for Markov Decision Process NIPS 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation EMNLP 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018
Fast Bellman Updates for Robust MDPs ICML 2018
Deep Variational Reinforcement Learning for POMDPs ICML 2018
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs ICML 2018
Simple random search of static linear policies is competitive for reinforcement learning NIPS 2018
Evolved Policy Gradients NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Visual Reinforcement Learning with Imagined Goals NIPS 2018
Evolution-Guided Policy Gradient in Reinforcement Learning NIPS 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries NIPS 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NIPS 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning NIPS 2018
Reinforcement Learning for Solving the Vehicle Routing Problem NIPS 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018
Learning Abstract Options NIPS 2018