research in reinforcement learning is that the agent-environment interac- tion can be viewed as a Markov deci- sion process (MDP) (Puterman 1994). The MDP ...
Dec 1, 1996 · Because reinforcement learning is an interdisciplinary topic, the workshop brought together researchers from a variety of fields, including ...
Dec 15, 1996 · Because reinforcement learning is an interdisciplinary topic, the workshop brought together researchers from a variety of fields, including ...
Dec 1, 1996 · Because reinforcement learning is an interdisciplinary topic, the workshop brought together researchers from a variety of fields, including ...
Research Planning Workshop on Applications of Reinforcement Learning. NSF Org: IIS · Div Of Information & Intelligent Systems. Recipient: INSTITUTE FOR THE ...
A 5-day research workshop at the Banff International Research Station is set to unveil the mysteries surrounding reinforcement learning (RL) and its pivotal ...
NSF's decades of sustained investments have ensured the continual advancement of AI research. Pioneering work supported by NSF includes: Reinforcement learning.
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Develop the theoretical and algorithmic foundations of systems with strategic agents. Reinforcement Learning. Develop RL methods with rigorous guarantees.
Reinforcement Learning Repository at UMass, Amherst. Workshops and Conferences with RL Topics. The NIPS-05 workshop "Reinforcement Learning Benchmarks and ...
Jan 14, 2023 · This project will certify reinforcement learning algorithms that compute optimal control policies in systems with non-classical dynamics and non ...