Spinning Up in Deep RL
OpenAI releases Spinning Up in Deep RL, an educational resource to learn deep reinforcement learning. The project includes code examples, exercises, documentation, and tutorials.
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OpenAI releases Spinning Up in Deep RL, an educational resource to learn deep reinforcement learning. The project includes code examples, exercises, documentation, and tutorials.
OpenAI develops an energy-based model that learns spatial concepts (near, above, between, closest, furthest) from only five demonstrations. The model transfers concepts across domains: concepts learned in 2D particle environments applied to 3D physics-based robot tasks.
OpenAI publishes research on model-based control combining online planning with offline learning. The method improves exploration and reinforcement learning efficiency by using predictive models to guide decision-making.