Research

My publications in the field of reinforcement learning

Research interests

Reinforcement learning
Robotics
Large language models
Open source software

Publications

Applied Intelligence, Springer · 2023

Variational Meta Reinforcement Learning for Social Robotics

Anand Ballou, Xavier Alameda-Pineda, Chris Reinke

A research paper on variational meta reinforcement learning, focusing on efficient adaptation to new tasks in social robotics.

Reinforcement Learning Robotics

Paper Code

PhD Thesis, University of Grenoble Alpes · 2024

Meta Reinforcement Learning for Social Robotics

Anand Ballou

My PhD thesis on the application of meta reinforcement learning to social robotics, exploring variational and preference-based approaches for efficient adaptation to new tasks.

Robotics Deep Learning Reinforcement Learning

Paper

Talks

Jan 3, 2023 · Inria Grenoble, France

Variational Meta Reinforcement Learning for Social Robotics

RL@Alpes 2023

A research talk on variational meta reinforcement learning, focusing on efficient adaptation to new tasks in social robotics.

Sep 11, 2024 · Lans en-Vercors, France

Preference-Based Adaptive Reinforcement Learning for Social Robotics

Joint Inria Seminar (RobotLearn, Thoth & Morpheo Teams)

A research talk on preference-based adaptive reinforcement learning, where I present my work about the importance of features in behavior discrimination in social robotics and the impact of the choice of the reward model on the learning performance.