Datasets › OpenAI Gym
OpenAI Gym
OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. It includes environment such as Algorithmic, Atari, Box2D, Classic Control, MuJoCo, Robotics, and Toy Text.
Source: https://github.com/openai/gym Image Source: https://medium.com/@tuzzer/cart-pole-balancing-with-q-learning-b54c6068d947
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Continuous Control | Lunar Lander (OpenAI Gym) | SAC Score 284.59±0.97 | Soft Actor-Critic: Off-Policy Maximum Entropy Deep... | ray-project/ray +85 | 5 | Compare |
| OpenAI Gym | Pendulum-v1 | TLA with Hierarchical Reward Functions Mean Reward -125.02 | Creating Hierarchical Dispositions of Needs in an Agent | TofaraMoyo/Heirachical-Reward-Functions | 2 | Compare |
| Continuous Control | Cart Pole (OpenAI Gym) | MAC Score 178.3 | Mean Actor Critic | kavosh8/MAC +1 | 1 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1,305. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Creating Hierarchical Dispositions of Needs in an Agent | 1 | 1 | 23 Nov 2024 | not harvested |
| Optimizing Attention and Cognitive Control Costs Using Temporally-Layered Architectures | 1 | 1 | 30 May 2023 | not harvested |
| Addressing Function Approximation Error in Actor-Critic Methods | 67 | 1 | 26 Feb 2018 | ran 9 of 36 samples (27 unverified; 20 pointer-only for licence) |
| Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor | 86 | 1 | 4 Jan 2018 | ran 91 of 148 samples (57 unverified; 66 pointer-only for licence) |
| Mean Actor Critic | 2 | 2 | 1 Sep 2017 | not harvested |
| Proximal Policy Optimization Algorithms | 188 | 1 | 20 Jul 2017 | ran 99 of 176 samples (77 unverified; 94 pointer-only for licence) |
| Continuous control with deep reinforcement learning | 161 | 1 | 9 Sep 2015 | ran 158 of 306 samples (148 unverified; 163 pointer-only for licence) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- OpenAI Gym
- Cart Pole (OpenAI Gym)
- Lunar Lander (OpenAI Gym)
- Pendulum-v1
4 variant names, as the archive lists them.
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