Methods

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NeurIPS 2017 Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017 Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols NeurIPS 2017 Emergent Behaviors in Mixed-Autonomy Traffic CoRL 2017 Enabling Robots to Communicate Their Objectives RSS 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 End-to-end optimization of goal-driven and visually grounded dialogue systems 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 FeUdal Networks for Hierarchical Reinforcement Learning ICML 2017 From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood ACL 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 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 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