29 citations · 50 across the 4 of their papers we have counts for
6 papers
Compatible features for Monotonic Policy Improvement
Marcin B. Tomczak, Sergio Valcarcel Macua, Enrique Munoz de Cote +1
Recent policy optimization approaches have achieved substantial empirical success by constructing surrogate optimization objectives. The Approximate Policy Iteration objective (Sch…
Adaptive Sensor Placement for Continuous Spaces
James A Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths +3
We consider the problem of adaptively placing sensors along an interval to detect stochastically-generated events. We present a new formulation of the problem as a continuum-armed…
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems
David Mguni, Joel Jennings, Sergio Valcarcel Macua +3
Many real-world systems such as taxi systems, traffic networks and smart grids involve self-interested actors that perform individual tasks in a shared environment. However, in suc…
Decentralised Learning in Systems with Many, Many Strategic Agents
David Mguni, Joel Jennings, Enrique Munoz de Cote
Although multi-agent reinforcement learning can tackle systems of strategically interacting entities, it currently fails in scalability and lacks rigorous convergence guarantees. C…
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning
Sergio Valcarcel Macua, Aleksi Tukiainen, Daniel García-Ocaña Hernández +3
We propose a fully distributed actor-critic algorithm approximated by deep neural networks, named \textit{Diff-DAC}, with application to single-task and to average multitask reinfo…
Automated Planning in Repeated Adversarial Games
Enrique Munoz de Cote, Archie C. Chapman, Adam M. Sykulski +1
Game theory's prescriptive power typically relies on full rationality and/or self-play interactions. In contrast, this work sets aside these fundamental premises and focuses instea…