Reinforcement Learning

Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
PDF Cite Project
Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally …
PDF Cite
Improving Reinforcement Learning with Ensembles of Different Learners
Different reinforcement learning (RL) methods exist to address the problem of combining multiple different learners to generate a …
PDF Cite
Facilitating Safe Sim-to-Real through Simulator Abstraction and Zero-shot Task Composition
Simulators are a fundamental part of training robots to solve complex control and navigation tasks. This is due to the speed and safety …
PDF Cite Project Video
Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
PDF Cite Project Video
Reducing the Planning Horizon through Reinforcement Learning
Planning is a computationally expensive process, which can limit the reactivity of autonomous agents. Planning problems are usually …
PDF Cite
Who Should I Trust? Cautiously Learning with Unreliable Experts
An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is …
PDF Cite
Analyzing Reinforcement Learning Algorithms for Nitrogen Fertilizer Management in Simulated Crop Growth
Establishing intelligent crop management techniques for preserving the soil, while providing next-generational food supply for an …
PDF Cite
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
In this work, we consider the problem of procedural content generation for video game levels. Prior approaches have relied on …
PDF Cite Project
World Value Functions: Knowledge Representation for Learning and Planning
We propose world value functions (WVFs), a type of goaloriented general value function that represents how to solve not just a given …
PDF Cite Project