ICML 2024 accepted papers on Multi-agent systems and games
53 of the 2,610 papers accepted at ICML 2024 (2.0%) are on Multi-agent systems and games, compared with 2.4% at ICML 2023. They fall into 4 topics.
See ICML 2024 in the interactive map
Working on something in this area? Describe your idea in scime atlas to see the closest accepted papers by meaning and how crowded the spot has become.
Topics and papers
LLM agents · 15 papers
- Executable Code Actions Elicit Better LLM Agents (10 citations)
- Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models (10 citations)
- MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation (9 citations)
- Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game (8 citations)
- CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents (7 citations)
- Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs (5 citations)
- Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast (4 citations)
- WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? (2 citations)
- AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls (1 citation)
- MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models (1 citation)
- diff History for Neural Language Agents
- From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
and 3 more in the interactive map.
Human-AI and goal-conditioned · 15 papers
- RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation (10 citations)
- Learning to Model the World With Language (3 citations)
- BAGEL: Bootstrapping Agents by Guiding Exploration with Language (2 citations)
- Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment (1 citation)
- Building Socially-Equitable Public Models (1 citation)
- AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
- Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
- Improving Token-Based World Models with Parallel Observation Prediction
- Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
- Position: Towards Unified Alignment Between Agents, Humans, and Environment
- Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
- Learning to Explore in POMDPs with Informational Rewards
and 3 more in the interactive map.
Cooperative multi-agent RL · 15 papers
- Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies (4 citations)
- Major-Minor Mean Field Multi-Agent Reinforcement Learning (3 citations)
- Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning (2 citations)
- LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning (1 citation)
- Optimistic Multi-Agent Policy Gradient (1 citation)
- ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
- FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
- Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
- Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
- Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing
- Open Ad Hoc Teamwork with Cooperative Game Theory
- Detecting Influence Structures in Multi-Agent Reinforcement Learning
and 3 more in the interactive map.
Games and equilibria · 8 papers
- Impact of Decentralized Learning on Player Utilities in Stackelberg Games (1 citation)
- Configurable Mirror Descent: Towards a Unification of Decision Making
- Fast Peer Adaptation with Context-aware Exploration
- Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
- Multi-Sender Persuasion: A Computational Perspective
- Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
- Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
- Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
