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  1. Home
  2. /Repositories
  3. /lucidrains/evolutionary-policy-optimization
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repoGitHubTrust 82 · PrimaryPublished 10d agoLive · 5d ago

lucidrains/evolutionary-policy-optimization

Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 56%[2607.07508] Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning →
  • PossiblePossibly related (embedding) · 52%Gradient-based Planning for World Models at Longer Horizons →
  • PossiblePossibly related (embedding) · 51%Maxims for machines: operationalizing Kant’s universal law via inverse reinforcement learning - Springer Nature Link →
  • PossiblePossibly related (embedding) · 48%Slime mold algorithm meets reinforcement learning to optimize distributed assembly scheduling - Bioengineer.org →

Covers

news[2607.07508] Single-Rollout Asynchronous Optimization for Agentic Reinforcement LearningnewsGradient-based Planning for World Models at Longer HorizonsnewsMaxims for machines: operationalizing Kant’s universal law via inverse reinforcement learning - Springer Nature Link

Covers (incoming)

newsSlime mold algorithm meets reinforcement learning to optimize distributed assembly scheduling - Bioengineer.org

Related across the graph

news[2607.07508] Single-Rollout Asynchronous Optimization for Agentic Reinforcement LearningnewsGradient-based Planning for World Models at Longer HorizonsnewsMaxims for machines: operationalizing Kant’s universal law via inverse reinforcement learning - Springer Nature LinknewsSlime mold algorithm meets reinforcement learning to optimize distributed assembly scheduling - Bioengineer.org
Knowledge path·N[2607.07508] Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning→NGradient-based Planning for World Models at Longer Horizons→NMaxims for machines: operationalizing Kant’s universal law via inverse reinforcement learning - Springer Nature Link→Rlucidrains/evolutionary-policy-optimization

Topics

artificial-intelligencedeep-learningevolutiongenetic-algorithmsreinforcement-learningrobotics

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Graph trust82Primary
Graph score111