Co-occurring keywords · papers mentioning both
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