Applications

Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023 Measuring Acoustics with Collaborative Multiple Agents IJCAI 2023 Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding CVPR 2023 Meta-learning Parameterized Skills ICML 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space RSS 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 MIMEx: Intrinsic Rewards from Masked Input Modeling NeurIPS 2023 MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations CoRL 2023 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play CoRL 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NeurIPS 2023 MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation CVPR 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Model-Based Reinforcement Learning for Cavity Filter Tuning L4DC 2023 Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NeurIPS 2023 Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning IJCAI 2023 Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023 MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning CoRL 2023 MoVie: Visual Model-Based Policy Adaptation for View Generalization NeurIPS 2023 Multi-Action Dialog Policy Learning from Logged User Feedback AAAI 2023 Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023