RLLab Framework
Introduced by Duan et al. in Benchmarking Deep Reinforcement Learning for Continuous Control
A benchmark suite of continuous control tasks, including classic tasks like cart-pole swing-up, tasks with very high state and action dimensionality such as 3D humanoid locomotion, tasks with partial observations, and tasks with hierarchical structure.
Source: Benchmarking Deep Reinforcement Learning for Continuous ControlPapers
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