Skip to content
conftrace_

multi-agent reinforcement learning

672 papers

MARL

Papers

Efficient Multi-agent Communication via Self-supervised Information Aggregation NeurIPS 2022 ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward NeurIPS 2022 E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance NeurIPS 2022 Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward ICLR 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games ICLR 2022 Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks IJCAI 2022 Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning ICML 2022 Heterogeneous Skill Learning for Multi-agent Tasks NeurIPS 2022 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NeurIPS 2022 Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking NeurIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm NeurIPS 2022 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning NeurIPS 2022 Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming ICLR 2022 It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation ICLR 2022 LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2022 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NeurIPS 2022 Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022 Learning to Guide and to be Guided in the Architect-Builder Problem ICLR 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NeurIPS 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022