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Reinforcement Learning
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Multi-Agent Systems
264 directly classified papers
Papers per year
2009: 1
2011: 1
2012: 2
2013: 4
2014: 1
2017: 7
2018: 11
2019: 18
2020: 31
2021: 34
2022: 47
2023: 44
2024: 47
2025: 16
Papers
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
AAAI 2021
Transferable Dialogue Systems and User Simulators
ACL 2021
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs
EMNLP 2021
Settling the Variance of Multi-Agent Policy Gradients
NIPS 2021
Collaborating with Humans without Human Data
NIPS 2021
PettingZoo: Gym for Multi-Agent Reinforcement Learning
NIPS 2021
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
NIPS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NIPS 2021
VAST: Value Function Factorization with Variable Agent Sub-Teams
NIPS 2021
Learning in Nonzero-Sum Stochastic Games with Potentials
ICML 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
ICML 2021
Interactive Learning from Activity Description
ICML 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality
ICML 2021
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Generative Exploration and Exploitation
AAAI 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
L4DC 2020
Ergodic Specifications for Flexible Swarm Control: From User Commands to Persistent Adaptation
RSS 2020
Agbots 2.0: Weeding Denser Fields with Fewer Robots
RSS 2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
UAI 2020
Learning Latent Representations to Influence Multi-Agent Interaction
CORL 2020
Reasoning on Knowledge Graphs with Debate Dynamics
AAAI 2020
Exploratory Combinatorial Optimization with Reinforcement Learning
AAAI 2020
Effective Diversity in Population Based Reinforcement Learning
NIPS 2020
How do fair decisions fare in long-term qualification?
NIPS 2020
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
ICML 2020
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