← Authors

Marlos C. Machado

22 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (60) πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer

Conferences

ICLR (8) ICML (5) AAAI (3) JMLR (2) AISTATS (1) IJCAI (1) NIPS (1) UAI (1)

Top co-authors

Michael Bowling (5) Marc G. Bellemare (4) Nicolas Le Roux (3) Dale Schuurmans (2) Richard S. Sutton (2) Doina Precup (2) Martha White (2) Pablo Samuel Castro (2) Alex Lewandowski (2) Brett Daley (2)

Keywords

reinforcement learning (7) option discovery (4) representation learning (3) temporal abstraction (3) function approximation (2) hierarchical reinforcement learning (2) eligibility trace (2) skill discovery (2) policy gradient (2) deep reinforcement learning (2) successor representation (2) sample complexity (1) policy optimization (1) evaluation methodology (1) natural policy gradient (1) state abstraction (1) importance sampling (1) hierarchical learning (1) general agents (1) game artificial intelligence (1)

Papers

Plastic Learning with Deep Fourier Features ICLR 2025
MaestroMotif: Skill Design from Artificial Intelligence Feedback ICLR 2025
Learning Continually by Spectral Regularization ICLR 2025
Representation-driven Option Discovery in Reinforcement Learning AAAI 2025
Proper Laplacian Representation Learning ICLR 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024
Averaging $n$-step Returns Reduces Variance in Reinforcement Learning ICML 2024
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023
Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL UAI 2022
A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning ICLR 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021
On Bonus Based Exploration Methods In The Arcade Learning Environment ICLR 2020
An operator view of policy gradient methods NIPS 2020
Exploration in Reinforcement Learning with Deep Covering Options ICLR 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract) IJCAI 2018
Eigenoption Discovery through the Deep Successor Representation ICLR 2018
A Laplacian Framework for Option Discovery in Reinforcement Learning ICML 2017
True Online Temporal-Difference Learning JMLR 2016