Publications

Filter by type:
. Separating value functions across time-scales. International Conference on Machine Learning (ICML) and The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019.

PDF Code

. Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research. Critiquing and Correcting Trends in Machine Learning Workshop (CRACT) at NeurIPS, 2018.

PDF

. The RLLChatbot: a solution to the ConvAI challenge. Dialogue and Discourse (In Submission), 2018.

PDF

. An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning, 2018.

PDF

. Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. The 14th European Workshop on Reinforcement Learning (EWRL 2018), 2018.

PDF Code

. Reward Estimation for Variance Reduction in Deep Reinforcement Learning. Proceedings of The 2nd Conference on Robot Learning, 2018.

PDF

. Cost Adaptation for Robust Decentralized Swarm Behaviour. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.

PDF Code Video

. Adversarial Gain. arXiv preprint arXiv:1811.01302, 2018.

PDF Code

. Reproducibility and Reusability in Deep Reinforcement Learning. M.Sc. Thesis. McGill University, 2018.

PDF

. Oríon: Experiment Version Control for Efficient Hyperparameter Optimization. Reproducibility in Machine Learning Workshop (ICML), 2018.

PDF Code

. OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. AAAI Conference on Artificial Intelligence (AAAI), 2018.

PDF Code

. Ethical Challenges in Data-Driven Dialogue Systems. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2018.

PDF Code

. Deep Reinforcement Learning that Matters. AAAI Conference on Artificial Intelligence (AAAI), 2018.

PDF Code Press (Science, mention) Press (TechCrunch, mention)

. Reward Estimation for Variance Reduction in Deep Reinforcement Learning. International Conference on Learning Representations Workshop (ICLR), 2018.

PDF Code

. A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version. Dialogue & Discourse, 2018.

PDF Code Website

. Learning Robust Dialog Policies in Noisy Environments. Conversational AI Workshop (NIPS), 2017.

PDF

. Bayesian Policy Gradients via Alpha Divergence Dropout Inference. Bayesian Deep Learning Workshop (NIPS), 2017.

PDF Code

. Underwater Multi-Robot Convoying using Visual Tracking by Detection. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.

PDF Code Dataset Video

. Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control. Reproducibility in Machine Learning Workshop (ICML), 2017.

PDF Code Poster

. Benchmark Environments for Multitask Learning in Continuous Domains. Lifelong Learning: A Reinforcement Learning Approach Workshop (ICML), 2017.

PDF Code Poster

. An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models. arXiv preprint arXiv:1702.05156, 2017.

PDF Code

. Chaotic Memory Randomization for Securing Embedded Systems. arXiv preprint arXiv:1611.00742, 2016.

PDF Code