2 citations · 4 across the 5 of their papers we have counts for
6 papers
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Teaching an agent to perform new tasks using natural language can easily be hindered by ambiguities in interpretation. When a teacher provides an instruction to a learner about an…
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Learning from demonstration methods usually leverage close to optimal demonstrations to accelerate training. By contrast, when demonstrating a task, human teachers deviate from opt…
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions
Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud
When demonstrating a task, human tutors pedagogically modify their behavior by either "showing" the task rather than just "doing" it (exaggerating on relevant parts of the demonstr…
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat
Affordances are the possibilities of actions the environment offers to the individual. Ordinary objects (hammer, knife) usually have many affordances (grasping, pounding, cutting),…
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences
Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat
We introduce SCOD (Sensory Commutativity Object Detection), an active method for movable and immovable object detection. SCOD exploits the commutative properties of action sequence…
Towards Teachable Autotelic Agents
Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré +3
Autonomous discovery and direct instruction are two distinct sources of learning in children but education sciences demonstrate that mixed approaches such as assisted discovery or…