Composition

Weighted Composition for Entropy-regularised Reinforcement Learning

One avenue for creating a generally intelligent agent is to equip it with the ability to combine its previously learned behaviours to …

Caston Nyabadza, Benjamin Rosman, Steven James, Geraud Nangue Tasse

Compositional Instruction Following with Language Models and Reinforcement Learning

Combining reinforcement learning with language grounding is challenging as the agent needs to explore the environment while …

Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew Gombolay, Ray Mooney, Benjamin Rosman

End-to-End Learning to Follow Language Instructions with Compositional Policies

We develop an end-to-end model for learning to follow language instructions with compositional policies. Our model combines large …

Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Raymond Mooney, Benjamin Rosman

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 …

Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

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 …

Tamlin Love, Devon Jarvis, Geraud Nangue Tasse, Branden Ingram, Steven James, Benjamin Rosman

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 …

Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman

Learning to Follow Language Instructions with Compositional Policies

We propose a framework that learns to execute natural language instructions in an environment consisting of goal-reaching tasks that …

Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew Gombolay, Benjamin Rosman

Composing Value Functions in Reinforcement Learning

An important property for lifelong-learning agents is the ability to combine existing skills to solve new unseen tasks. In general, …

Benjamin Van Niekerk, Steven James, Adam Earle, Benjamin Rosman

Will it Blend? Composing Value Functions in Reinforcement Learning

An important property for lifelong-learning agents is the ability to combine existing skills to solve unseen tasks. In general, …

Benjamin Van Niekerk, Steven James, Adam Earle, Benjamin Rosman