Future-Informed Actor-Critic
1 version
GL
Gaspard Lambrechts
cs.LGstat.MLcs.ROArtificial Intelligencecodon embeddingcodon usagecs.AIdata efficiencydeep neural networkgenetic code deciphering
On Valency
published · living versionsPreprints & journals
14 papers in the corpus · 2021–2026Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion
0 citations
Reinformed Dreamer: An Asymmetric World Model Efficiently Trained through Latent Guidance
0 citations
Maximum-Entropy Exploration with Future State-Action Visitation Measures
0 citations
Real-World Reinforcement Learning of Active Perception Behaviors
0 citations
Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access
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A Theoretical Justification for Asymmetric Actor-Critic Algorithms
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Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
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Parallelizing Autoregressive Generation with Variational State Space Models
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Reinforcement Learning to improve delta robot throws for sorting scrap metal
1 citation
Behind the Myth of Exploration in Policy Gradients
0 citations
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning.
4 citations
Informed POMDP: Leveraging Additional Information in Model-Based RL
0 citations
Cracking the genetic code with neural networks.
6 citations
Recurrent networks, hidden states and beliefs in partially observable environments
1 citation
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