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3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in continuous-control-1
No benchmarks available.
Use these libraries to find continuous-control-1 models and implementations
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The ability of the presented approach to bootstrap the learned behavior from a simpler system to a more complex robot (comparatively higher-dimensional action-space) and reach better performance faster is shown.
The AirPilot, a nonlinear Deep Reinforcement Learning (DRL) - enhanced Proportional Integral Derivative (PID) drone controller using Proximal Policy Optimization (PPO) is presented, one of the first attempts to apply a DRL-based flight controller on an actual drone.
Adding a benchmark result helps the community track progress.