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Agent Systems

4,088 papers

Papers per year

17
16
210
1077
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'15
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Papers

Scalable Differentiable Physics for Learning and Control ICML 2020
Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020
Explicit Gradient Learning for Black-Box Optimization ICML 2020
Lookahead-Bounded Q-learning ICML 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020
Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020
Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020
What Can Learned Intrinsic Rewards Capture? ICML 2020
Intention Progression under Uncertainty IJCAI 2020
Formalizing Group and Propagated Trust in Multi-Agent Systems IJCAI 2020
Combining Direct Trust and Indirect Trust in Multi-Agent Systems IJCAI 2020
Verifying Fault-Tolerance in Probabilistic Swarm Systems IJCAI 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020
Opinion Maximization in Social Trust Networks IJCAI 2020
Exploration Based Language Learning for Text-Based Games IJCAI 2020
Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020
Boolean Games: Inferring Agents' Goals Using Taxation Queries IJCAI 2020
Pitfalls of Learning a Reward Function Online IJCAI 2020
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic IJCAI 2020
Learning and Solving Regular Decision Processes IJCAI 2020
Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020