Alexandre Piche

4 papers · 2018–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

CoRL (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Yisong Yue (1) Valentin Thomas (1) Alexandre Lacoste (1) Aaron Courville (1) Peter Henderson (1) Alessandro Davide Ialongo (1) Sai Rajeswar (1) Pietro Mazzaglia (1) Vincent Francois-Lavet (1) Bart Dhoedt (1)

Research topics

Machine Learning (4) Reinforcement Learning (4) Methods (4) Optimization & Theory (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Applications (1)

Keywords

continuous control (2) reinforcement learning (1) policy optimization (1) variational inference (1) bayesian inference (1) task generalization (1) model predictive control (1) value function (1) sequential monte carlo (1) model-based reinforcement learning (1) value function approximation (1) variance reduction (1) stochastic reward (1) probabilistic planning (1) model-free reinforcement learning (1) unsupervised reinforcement learning (1) policy network (1) sampling method (1) task adaptation (1) reward estimation (1)

Papers

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023 Iterative Amortized Policy Optimization NeurIPS 2021 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018