OpenAI Gym
About
OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection of benchmark problems that expose a common interface, and a website where people can share their results and compare the performance of algorithms. This whitepaper discusses the components of OpenAI Gym and the design decisions that went into the software.
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba• 2016
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Robotic Path Planning | Maze2D (test) | BS1-0.999 | 22 | |
| Reinforcement Learning | Autonomous Driving Dataset | Sample Time (s)31.34 | 19 | |
| Dexterous Manipulation | D4RL Adroit Relocate (offline) | Safety Score0.00e+0 | 9 | |
| Locomotion Planning | walker2d medium | Safety0.02 | 7 | |
| Locomotion | Hopper Med-Expert | Safety0.05 | 7 | |
| Locomotion Planning | hopper medium | Safety0.05 | 7 | |
| Navigation | Maze2D large | Computation Time (sec)0.02 | 7 | |
| Locomotion | Hopper Med-Expert | Computation Time (sec)0.06 | 7 | |
| Locomotion | hopper medium | Computation Time (sec)0.06 | 7 | |
| Locomotion | walker2d medium | Computation Time (sec)0.06 | 7 |
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