Reinforcement Learning

End-to-End Differentiable Adversarial Imitation Learning ICML 2017 End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017 Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach IJCAI 2017 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning NeurIPS 2017 #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NeurIPS 2017 Exploration-Exploitation in MDPs with Options AISTATS 2017 Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CoRL 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Fairness in Reinforcement Learning ICML 2017 Fake News Mitigation via Point Process Based Intervention ICML 2017 Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions RSS 2017 FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017 From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood ACL 2017 From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017 Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach NeurIPS 2017 Hierarchical Reinforcement Learning with Parameters CoRL 2017 Hierarchy Through Composition with Multitask LMDPs ICML 2017 Hindsight Experience Replay NeurIPS 2017 Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion RSS 2017 Hybrid Reward Architecture for Reinforcement Learning NeurIPS 2017 I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space IJCAI 2017 Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017 Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017 Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017