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conftrace_

partial observability

137 papers

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PO

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reinforcement learning (36) multi-agent reinforcement learning (20) multi-agent system (17) deep reinforcement learning (13) partially observable markov decision process (9) markov decision process (9) policy learning (7) partially observable environment (6) graph neural network (6) imitation learning (6)

Papers

Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents CVPR 2026 CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics L4DC 2026 Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint) AAAI 2026 EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer AAAI 2026 Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs CVPR 2026 GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning AAAI 2026 HHC: Hierarchical Hypergraph Communication for Multi-Agent Systems UAI 2026 Knowledge Boundary Discovery for Large Language Models AAAI 2026 Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer CVPR 2026 Theory-of-Mind in Partially Observed, Mixed-Motive Games AAAI 2026 What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty UAI 2026 Ad Hoc Teamwork via Offline Goal-Based Decision Transformers ICML 2025 Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control ICLR 2025 DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation ICCV 2025 GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL AAAI 2025 IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning ICLR 2025 MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2025 Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents JMLR 2025 Off-policy Predictive Control with Causal Sensitivity Analysis UAI 2025 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025 On Shallow Planning Under Partial Observability AAAI 2025 Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency ICLR 2025 Student-Informed Teacher Training ICLR 2025 The Partially Observable Off-Switch Game AAAI 2025 Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios NeurIPS 2024