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Agent Systems

3885 directly classified papers

Papers per year

Papers

How to talk so AI will learn: Instructions, descriptions, and autonomy NIPS 2022
Learning General World Models in a Handful of Reward-Free Deployments NIPS 2022
Robust $\phi$-Divergence MDPs NIPS 2022
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning NIPS 2022
Assistive Teaching of Motor Control Tasks to Humans NIPS 2022
Parametrically Retargetable Decision-Makers Tend To Seek Power NIPS 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning NIPS 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents NIPS 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NIPS 2022
You Only Live Once: Single-Life Reinforcement Learning NIPS 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NIPS 2022
Dialog Policy Learning for Joint Clarification and Active Learning Queries AAAI 2021
Emergent Communication of Generalizations NIPS 2021
Dynamics-regulated kinematic policy for egocentric pose estimation NIPS 2021
Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021
Toward Robust Long Range Policy Transfer AAAI 2021
Deep Recurrent Belief Propagation Network for POMDPs AAAI 2021
Power Constrained Bandits MLHC 2021
Scheduling of Time-Varying Workloads Using Reinforcement Learning AAAI 2021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021
Enabling Fast Instruction-Based Modification of Learned Robot Skills AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals AAAI 2021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021
Software for Agent-based Network Simulation and Visualization AAAI 2021
ChainerRL: A Deep Reinforcement Learning Library JMLR 2021