Marlos C. MachadoProper Laplacian Representation LearningWith ICLR around the corner, I thought I would write about the paper we had accepted there this year. The paper title is “Proper Laplacian…Apr 29Apr 29
Marlos C. MachadoOn RLC’s Outstanding Paper AwardsThis post is a reproduction of the post at https://rl-conference.cc/blogs/awards_process.html.Feb 6Feb 6
Marlos C. MachadoLooking back at my first 3 years as an Amii fellowI’ve been quiet in the last couple of months because I was busy teaching at the University of Alberta, both an undergraduate and a graduate…Jan 21Jan 21
Marlos C. MachadoDeep Laplacian-based Options for Temporally-Extended ExplorationIn this post, summarizing a paper we published at ICML’23, I discuss a very general method that implements the ROD cycle quite effectively.Jul 14, 2023Jul 14, 2023
Marlos C. MachadoThe Representation-driven Option Discovery CycleHow should we learn temporal abstractions in reinforcement learning?Jun 30, 2023Jun 30, 2023
Marlos C. MachadoDon’t Panic!Reinforcement learning is full of magical things patiently waiting for our wits to grow sharperJun 15, 2023Jun 15, 2023
Marlos C. MachadoThe True Impact of Baselines in Policy Gradient MethodsIn this post, summarizing a paper we published at ICML’21, I discuss the role of baselines in policy gradient methods.Jun 12, 2023Jun 12, 2023
Marlos C. MachadoLooking at Policy Gradient Methods from an Operators PerspectiveIn this post, summarizing a paper published at NeurIPS’20, I discuss how we can see policy gradient methods from an operators perspective.Jun 10, 2023Jun 10, 2023
Marlos C. MachadoHello (again), World!Greetings, readers! I recently re-created my personal website and in this process I decided to stop hosting my blog inside my website and…Jun 9, 2023Jun 9, 2023