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06/16/2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Open-source reinforcement learning (RL) environments have played a cruci...
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11/19/2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Meta-gradient Reinforcement Learning (RL) allows agents to self-tune the...
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05/28/2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
Combinatorial optimisation problems framed as mixed integer linear progr...
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05/27/2022
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
From logistics to the natural sciences, combinatorial optimisation on gr...
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10/30/2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
Self-tuning algorithms that adapt the learning process online encourage ...
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07/03/2021
Mava: a research framework for distributed multi-agent reinforcement learning
Breakthrough advances in reinforcement learning (RL) research have led t...
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12/03/2020
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
The SARS-CoV-2 pandemic has created a global race for a cure. One approa...
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11/29/2020
Offline Reinforcement Learning Hands-On
Offline Reinforcement Learning (RL) aims to turn large datasets into pow...
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10/15/2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Multi-agent reinforcement learning has recently shown great promise as a...
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07/27/2020
Learning Compositional Neural Programs for Continuous Control
We propose a novel solution to challenging sparse-reward, continuous con...
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05/30/2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
We propose a novel reinforcement learning algorithm, AlphaNPI, that inco...
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07/04/2018
