{"total":42,"rows":[{"id":"2112.01388","title":"Residual Pathway Priors for Soft Equivariance Constraints","created":"2021-12-02","cited_by_count":75,"area":null},{"id":"2101.05436","title":"Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates","created":"2021-01-14","cited_by_count":74,"area":null},{"id":"2107.11444","title":"Cooperative Exploration for Multi-Agent Deep Reinforcement Learning","created":"2021-07-23","cited_by_count":57,"area":null},{"id":"2209.10485","title":"Towards a Standardised Performance Evaluation Protocol for Cooperative MARL","created":"2022-09-21","cited_by_count":49,"area":null},{"id":"2108.11550","title":"The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation","created":"2021-08-26","cited_by_count":27,"area":null},{"id":"2110.04495","title":"Multi-Agent MDP Homomorphic Networks","created":"2021-10-09","cited_by_count":25,"area":null},{"id":"2105.00931","title":"GridToPix: Training Embodied Agents with Minimal Supervision","created":"2021-04-14","cited_by_count":21,"area":null},{"id":"2206.08704","title":"Maximum Class Separation as Inductive Bias in One Matrix","created":"2022-06-17","cited_by_count":21,"area":null},{"id":"2110.05769","title":"Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents","created":"2021-10-12","cited_by_count":19,"area":null},{"id":"2108.03319","title":"Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning","created":"2021-08-06","cited_by_count":18,"area":null},{"id":"2204.03640","title":"Equivariance Discovery by Learned Parameter-Sharing","created":"2022-04-07","cited_by_count":18,"area":null},{"id":"2210.08001","title":"Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks","created":"2022-10-14","cited_by_count":18,"area":null},{"id":"2404.10976","title":"Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning","created":"2024-04-17","cited_by_count":18,"area":null},{"id":"2210.12124","title":"Equivariant Networks for Zero-Shot Coordination","created":"2022-10-21","cited_by_count":16,"area":null},{"id":"2305.16316","title":"Making Vision Transformers Truly Shift-Equivariant","created":"2023-05-25","cited_by_count":16,"area":null},{"id":"2311.02922","title":"Truly Scale-Equivariant Deep Nets with Fourier Layers","created":"2023-11-06","cited_by_count":16,"area":null},{"id":"2105.08268","title":"Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach","created":"2021-05-18","cited_by_count":14,"area":null},{"id":"2209.09845","title":"Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL","created":"2022-09-20","cited_by_count":12,"area":null},{"id":"2210.04365","title":"ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward","created":"2022-10-09","cited_by_count":11,"area":null},{"id":"2201.04612","title":"Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning","created":"2022-01-12","cited_by_count":9,"area":null},{"id":"2210.09378","title":"Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation","created":"2022-10-17","cited_by_count":8,"area":null},{"id":"2403.19253","title":"Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning","created":"2024-03-28","cited_by_count":7,"area":null},{"id":"2104.09402","title":"Agent-Centric Representations for Multi-Agent Reinforcement Learning","created":"2021-04-19","cited_by_count":6,"area":null},{"id":"2203.05285","title":"Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework","created":"2022-03-10","cited_by_count":6,"area":null},{"id":"2303.15544","title":"Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach","created":"2023-03-27","cited_by_count":6,"area":null},{"id":"2308.11842","title":"${\\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning","created":"2023-08-23","cited_by_count":6,"area":null},{"id":"2202.09422","title":"Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games","created":"2022-02-18","cited_by_count":5,"area":null},{"id":"2204.05184","title":"Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization","created":"2022-04-06","cited_by_count":5,"area":null},{"id":"2102.09361","title":"Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning","created":"2021-02-18","cited_by_count":3,"area":null},{"id":"2504.17258","title":"Group Downsampling with Equivariant Anti-aliasing","created":"2025-04-24","cited_by_count":3,"area":null},{"id":"2503.11726","title":"SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2508.14187","title":"Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2508.14197","title":"CLIPSym: Delving into Symmetry Detection with CLIP","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2409.11741","title":"HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning","created":"2024-09-18","cited_by_count":1,"area":null},{"id":"2501.01136","title":"Symmetries-enhanced Multi-Agent Reinforcement Learning","created":"2025-01-02","cited_by_count":1,"area":null},{"id":"2511.02762","title":"From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2109.14131","title":"Contrastive Video-Language Segmentation","created":"2021-09-29","cited_by_count":0,"area":null},{"id":"2206.01207","title":"RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2308.02603","title":"Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles","created":"2023-08-04","cited_by_count":0,"area":null},{"id":"2310.04159","title":"Amortized Network Intervention to Steer the Excitatory Point Processes","created":"2023-10-06","cited_by_count":0,"area":null},{"id":"2601.12662","title":"Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2603.26657","title":"Tunable Soft Equivariance with Guarantees","created":"2026-03-27","cited_by_count":0,"area":null}],"next_cursor":null}