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Multi-Agent Systems

3306 directly classified papers

Papers per year

Papers

Answering Complex Open-domain Questions Through Iterative Query Generation EMNLP 2019
Revisiting the Evaluation of Theory of Mind through Question Answering EMNLP 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions NIPS 2019
Ease-of-Teaching and Language Structure from Emergent Communication NIPS 2019
On Computational Tractability for Rational Verification IJCAI 2019
Modeling Conceptual Understanding in Image Reference Games NIPS 2019
Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019
Learning to request guidance in emergent language EMNLP 2019
Automatic Verification of FSA Strategies via Counterexample-Guided Local Search for Invariants IJCAI 2019
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems IJCAI 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving IJCAI 2019
Multiagent Decision Making and Learning in Urban Environments IJCAI 2019
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos IJCAI 2019
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue IJCNLP 2019
Seeded self-play for language learning EMNLP 2019
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario IJCAI 2019
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders IJCAI 2019
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings IJCAI 2019
Relational Action Forecasting CVPR 2019
Countering Language Drift via Visual Grounding IJCNLP 2019
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings ICCV 2019
SENSE: A Shared Encoder Network for Scene-Flow Estimation ICCV 2019
Counterfactual Critic Multi-Agent Training for Scene Graph Generation ICCV 2019
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction CVPR 2019