reward function

Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018 Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CoRL 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning the Reward Function for a Misspecified Model ICML 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Multi-Reward Reinforced Summarization with Saliency and Entailment NAACL 2018 No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018 Occam's razor is insufficient to infer the preferences of irrational agents NeurIPS 2018 Paraphrase Generation with Deep Reinforcement Learning EMNLP 2018 Playing hard exploration games by watching YouTube NeurIPS 2018 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 2018 Simplifying Reward Design through Divide-and-Conquer RSS 2018 Teaching Inverse Reinforcement Learners via Features and Demonstrations NeurIPS 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NeurIPS 2018 A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Constrained Policy Optimization ICML 2017 Deal or No Deal? End-to-End Learning of Negotiation Dialogues EMNLP 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Inverse Reward Design NeurIPS 2017 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 Repeated Inverse Reinforcement Learning NeurIPS 2017