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08/22/2023
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
The robust constrained Markov decision process (RCMDP) is a recent task-...
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12/07/2022
Low Variance Off-policy Evaluation with State-based Importance Sampling
In off-policy reinforcement learning, a behaviour policy performs explor...
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09/05/2022
Trust in Language Grounding: a new AI challenge for human-robot teams
The challenge of language grounding is to fully understand natural langu...
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04/21/2022
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
Purpose of review: This paper reviews opportunities and challenges for d...
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11/14/2021
Explicit Explore, Exploit, or Escape (E^4): near-optimal safety-constrained reinforcement learning in polynomial time
In reinforcement learning (RL), an agent must explore an initially unkno...
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09/08/2021
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
Quality-Diversity (QD) algorithms evolve behaviourally diverse and high-...
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06/03/2021
Lifetime policy reuse and the importance of task capacity
A long-standing challenge in artificial intelligence is lifelong learnin...
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05/21/2021
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
In Quality-Diversity (QD) algorithms, which evolve a behaviourally diver...
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12/21/2020
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
Rapid performance recovery from unforeseen environmental perturbations r...
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03/10/2020
ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves
The energy of ocean waves is the key distinguishing factor of a marine e...
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03/04/2020
