Methods

Clipped Action Policy Gradient ICML 2018 Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation CoRL 2018 Configurable Markov Decision Processes ICML 2018 Consequentialist conditional cooperation in social dilemmas with imperfect information ICLR 2018 Constrained Cross-Entropy Method for Safe Reinforcement Learning NeurIPS 2018 Context-dependent upper-confidence bounds for directed exploration NeurIPS 2018 Continual Reinforcement Learning with Complex Synapses ICML 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Convergent Tree Backup and Retrace with Function Approximation ICML 2018 Coordinated Exploration in Concurrent Reinforcement Learning ICML 2018 Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning CVPR 2018 Credit Assignment For Collective Multiagent RL With Global Rewards NeurIPS 2018 Cross-modal Bidirectional Translation via Reinforcement Learning IJCAI 2018 CSGNet: Neural Shape Parser for Constructive Solid Geometry CVPR 2018 Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018 Data-Efficient Hierarchical Reinforcement Learning NeurIPS 2018 Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018 Decoupling Strategy and Generation in Negotiation Dialogues EMNLP 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ACL 2018 Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition CVPR 2018 Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018 Deep Reinforcement Learning for NLP ACL 2018 Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018