partial observability

Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022 Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world NeurIPS 2022 Online Ad Hoc Teamwork under Partial Observability ICLR 2022 PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning NeurIPS 2022 Reinforcement Learning for Datacenter Congestion Control AAAI 2022 Reinforcement learning in many-agent settings under partial observability UAI 2022 Revisiting the Roles of “Text” in Text Games EMNLP 2022 Self-Organized Group for Cooperative Multi-agent Reinforcement Learning NeurIPS 2022 Stochastic Goal Recognition Design Problems with Suboptimal Agents AAAI 2022 Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NeurIPS 2022 Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph CVPR 2021 Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability AAAI 2021 Learning Visible Connectivity Dynamics for Cloth Smoothing CoRL 2021 Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021 Reinforcement Learning of Sequential Price Mechanisms AAAI 2021 State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021 Vector Quantized Models for Planning ICML 2021 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings) JMLR 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CoRL 2020