Multi-Agent Systems

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning ICLR 2020 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020 Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Fiduciary Bandits ICML 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Generative Exploration and Exploitation AAAI 2020 Gifting in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Growing Action Spaces ICML 2020 Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CoRL 2020 How do fair decisions fare in long-term qualification? NeurIPS 2020 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Independent Policy Gradient Methods for Competitive Reinforcement Learning NeurIPS 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Intrinsic Motivation for Encouraging Synergistic Behavior ICLR 2020 Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning CVPR 2020 Joint Policy Search for Multi-agent Collaboration with Imperfect Information NeurIPS 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020