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2021 |
Liang, Paul Pu |
| FEUDAL MULTI-AGENT DEEP REINFORCEMENT LEARNING FOR TRAFFIC SIGNAL CONTROL
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2021 |
Ma, Jimming |
| NON-UNIFORM POLICIES FOR MULTI-ROBOT ASYMMETRIC PERIMETER PATROL IN ADVERSARIAL DOMAINS
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2021 |
Oshrat, Yaniv |
| ANALYZING REINFORCEMENT LEARNING BENCHMARKS WITH RANDOM WEIGHT GUESSING
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2021 |
Oller, Declan |
| REAL-TIME LEARNING AND PLANNING IN ENVIRONMENTS WITH SWARMS: A HIERARCHICAL AND A PARAMETER-BASED SIMULATION APPROACH
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2021 |
Pelcner, Lukasz |
| MULTI-PATH POLICY OPTIMIZATION
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2021 |
Pan, Ling |
| INFERENCE-BASED STRATEGY ALIGNMENT FOR GENERAL-SUM DIFFERENTIAL GAMES
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2021 |
Peters, Lasse |
| OBJECTIVE SOCIAL CHOICE: USING AUXILIARY INFORMATION TO IMPROVE VOTING OUTCOMES
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2021 |
Pitis, Silviu |
| LEARNING AND TESTING RESILIENCE IN COOPERATIVE MULTI-AGENT SYSTEMS
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2021 |
Phan, Thomy |
| YESTERDAY'S REWARD IS TODAY'S PUNISHMENT: CONTRAST EFFECTS IN HUMAN FEEDBACK TO REINFORCEMENT LEARNING AGENTS |
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2021 |
Ramesh, Divya |
| CULTURE-BASED EXPLAINABLE HUMAN-AGENT DECONFLICTION
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2021 |
Raymond, Alex |
| EXTENDING NARRATIVE PLANNING DOMAINS WITH LINGUISTIC RESOURCES
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2021 |
Porteous, Julie |
| CAPACITY, BANDWIDTH, AND COMPOSITIONALITY IN EMERGENT LANGUAGE LEARNING
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2021 |
Resnick, Cinjon |
| DESIGNING EFFECTIVE AND PRACTICAL INTERVENTIONS TO CONTAIN EPIDEMICS
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2021 |
Sambaturu, Prathyush |
| LEARNING TO DESIGN COUPONS IN ONLINE ADVERTISING MARKETS
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2021 |
Shen, Weiran |
| SIGNED GRAPH GAMES: COALITIONAL GAMES WITH FRIENDS, ENEMIES AND ALLIES
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2021 |
Skibski, Oskar |
| SAFE POLICY IMPROVEMENT WITH AN ESTIMATED BASELINE POLICY
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2021 |
Simáo, Thiago D. |
| CAPTURING ORACLE GUIDED HIDERS
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2021 |
Tandon, Akshat |
| AN ACTIVE LEARNING METHOD FOR THE COMPARISON OF AGENT-BASED MODELS
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2021 |
Thorve, Swapna |
| LEARNING CONTEXT-AWARE TASK REASONING FOR EFFICIENT META-REINFORCEMENT LEARNING
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2021 |
Wang, Haozhe |
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