multi-agent reinforcement learning
An area of reinforcement learning that deals with scenarios where multiple agents learn and make decisions simultaneously while interacting with each other and their environment. This encapsulates challenges like cooperation, competition, and communication among agents.
- A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
- Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
- Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
- Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
- COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
- Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
- Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
- Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
- HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
- High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
- HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
- LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
- MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
- Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
- Multi-agent Markov Entanglement
- Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
- Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
- ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
- Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective
- Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control
- Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
- Sequential Multi-Agent Dynamic Algorithm Configuration
- URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
- VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
- Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration