reward function

Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse Reinforcement Learning with Natural Language Goals AAAI 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021 Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos RSS 2021 Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation CoRL 2021 Learning One Representation to Optimize All Rewards NeurIPS 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Learning What To Do by Simulating the Past ICLR 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021 Objective-aware Traffic Simulation via Inverse Reinforcement Learning IJCAI 2021 Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers ICLR 2021 On Learning Text Style Transfer with Direct Rewards NAACL 2021 On the Expressivity of Markov Reward NeurIPS 2021 Primal Wasserstein Imitation Learning ICLR 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 Quantifying Differences in Reward Functions ICLR 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ACL 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NeurIPS 2021 RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021