| 2023 | ICRA | Feature Extraction for Effective and Efficient Deep Reinforcement Learning on Real Robotic Platforms. | Peter Bhm, Pauline Pounds, Archie C. Chapman |
| 2022 | IROS | Non-blocking Asynchronous Training for Reinforcement Learning in Real-World Environments. | Peter Bhm, Pauline Pounds, Archie C. Chapman |
| 2021 | IJCAI | Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling. | Mark Alexander Burgess, Archie C. Chapman |
| 2014 | PRIMA | Marginal Contribution Stochastic Games for Dynamic Resource Allocation. | Archie C. Chapman, Pradeep Varakantham |
| 2012 | AAAI | Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. | Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings |
| 2011 | UAI | Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs. | Archie C. Chapman, Simon Andrew Williamson, Nicholas R. Jennings |
| 2011 | SAGT | On the Existence of Pure Strategy Nash Equilibria in Integer-Splittable Weighted Congestion Games. | Long Tran-Thanh, Maria Polukarov, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings |
| 2010 | AAAI | A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria. | Archie C. Chapman, Alessandro Farinelli, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings |
| 2010 | AAAI | Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. | Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings |
| 2010 | ECAI | EA | Adam M. Sykulski, Archie C. Chapman, Enrique Munoz de Cote, Nicholas R. Jennings |
| 2010 | UAI | Automated Planning in Repeated Adversarial Games. | Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski, Nicholas R. Jennings |