Marlos C. Machado
22 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (9)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏆
Keyword Champion
(4)
🏆
Grand Slam
🗃️
Keyword Collector
(60)
💎
Century Club
(22)
🔥
Unstoppable
(6)
🚀
Conference Pioneer
Conferences
ICLR (8)
ICML (5)
AAAI (3)
JMLR (2)
AISTATS (1)
IJCAI (1)
NIPS (1)
UAI (1)
Top co-authors
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