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Agent Systems

3885 directly classified papers

Papers per year

Papers

What Can Learned Intrinsic Rewards Capture? ICML 2020
Intention Progression under Uncertainty IJCAI 2020
An Operational Semantics for True Concurrency in BDI Agent Systems AAAI 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020
Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020
Verifying Fault-Tolerance in Probabilistic Swarm Systems IJCAI 2020
Learning a Decentralized Multi-Arm Motion Planner CORL 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020
Generative Exploration and Exploitation AAAI 2020
Virtual Consensus in Delos OSDI 2020
Formalizing Group and Propagated Trust in Multi-Agent Systems IJCAI 2020
Combining Direct Trust and Indirect Trust in Multi-Agent Systems IJCAI 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach 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
Pitfalls of Learning a Reward Function Online IJCAI 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020
Interactive Machine Comprehension with Information Seeking Agents ACL 2020
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments EMNLP 2020
The Nonstochastic Control Problem ALT 2020
Organizing recurrent network dynamics by task-computation to enable continual learning NIPS 2020
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits NIPS 2020
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks CVPR 2020
Meta-trained agents implement Bayes-optimal agents NIPS 2020