Methods

Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Socially Motivated Partial Cooperation in Multi-agent Local Search IJCAI 2018 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018 Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language COLING 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization IJCAI 2018 Stochastic Variance-Reduced Policy Gradient ICML 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018 Structured Dialogue Policy with Graph Neural Networks COLING 2018 Structured Evolution with Compact Architectures for Scalable Policy Optimization ICML 2018 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark CoRL 2018 Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018 TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning ICLR 2018 Temporal Difference Models: Model-Free Deep RL for Model-Based Control ICLR 2018 Temporal Regularization for Markov Decision Process NeurIPS 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The Importance of Sampling inMeta-Reinforcement Learning NeurIPS 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018 The Uncertainty Bellman Equation and Exploration ICML 2018 Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018 Time Limits in Reinforcement Learning ICML 2018 Total stochastic gradient algorithms and applications in reinforcement learning NeurIPS 2018