5 papers
Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning
Viktor Veselý, Aleksandar Todorov, Erwan Escudie +1
Temporal credit assignment is central to both biological and artificial intelligence, yet its interaction with non-linear function approximation is poorly understood. We identify a…
An -Optimal Sequential Approach for Solving zs-POSGs
Erwan C. Escudie, Matthia Sabatelli, Jilles S. Dibangoye
While recent reductions of zero-sum partially observable stochastic games (zs-POSGs) to transition-independent stochastic games (TI-SGs) theoretically admit dynamic programming, pr…
ε-Optimally Solving Two-Player Zero-Sum POSGs
Erwan Christian Escudie, Matthia Sabatelli, Olivier Buffet +1
We present a novel framework for ε-optimally solving two-player zero-sum partially observable stochastic games (zs-POSGs). These games pose a major challenge due to the absence of…
-Optimally Solving Zero-Sum POSGs
Erwan Escudie, Matthia Sabatelli, Jilles Dibangoye
A recent method for solving zero-sum partially observable stochastic games (zs-POSGs) embeds the original game into a new one called the occupancy Markov game. This reformulation a…
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
Erwan Escudie, Laetitia Matignon, Jacques Saraydaryan
Learning robot navigation strategies among pedestrian is crucial for domain based applications. Combining perception, planning and prediction allows us to model the interactions be…