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Agent Systems

3,885 papers

Papers per year

Papers

Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System AAAI 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023
Hierarchical Prompting Assists Large Language Model on Web Navigation EMNLP 2023
Learning Intuitive Policies Using Action Features ICML 2023
Emergence of Abstract State Representations in Embodied Sequence Modeling EMNLP 2023
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots CORL 2023
Passive learning of active causal strategies in agents and language models NIPS 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals NIPS 2023
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) IJCAI 2023
Open-World Object Manipulation using Pre-Trained Vision-Language Models CORL 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CORL 2023
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks AAAI 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NIPS 2023
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization CORL 2023
Reinforcement Learning with Simple Sequence Priors NIPS 2023
Approximately Stationary Bandits with Knapsacks COLT 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning NIPS 2023
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics CVPR 2023
Double Gumbel Q-Learning NIPS 2023
Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning EACL 2023