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---
license: bsd-3-clause
tags:
- autorl
- automl
- rl
pretty_name: ARLBench Performance Data
size_categories:
- 10K<n<100K
configs:
- config_name: ppo_landscape_data
data_files:
- "landscapes/atari_battle_zone_ppo.csv"
- "landscapes/atari_double_dunk_ppo.csv"
- "landscapes/atari_phoenix_ppo.csv"
- "landscapes/atari_qbert_ppo.csv"
- "landscapes/atari_this_game_ppo.csv"
- "landscapes/box2d_continuous_lunar_lander_ppo.csv"
- "landscapes/box2d_lunar_lander_ppo.csv"
- "landscapes/brax_halfcheetah_ppo.csv"
- "landscapes/brax_hopper_ppo.csv"
- "landscapes/brax_ant_ppo.csv"
- "landscapes/brax_humanoid_ppo.csv"
- "landscapes/cc_acrobot_ppo.csv"
- "landscapes/cc_cartpole_ppo.csv"
- "landscapes/cc_continuous_mountain_car_ppo.csv"
- "landscapes/cc_mountain_car_ppo.csv"
- "landscapes/cc_pendulum_ppo.csv"
- "landscapes/minigrid_door_key_ppo.csv"
- "landscapes/minigrid_empty_random_ppo.csv"
- "landscapes/minigrid_four_rooms_ppo.csv"
- "landscapes/minigrid_unlock_ppo.csv"
- config_name: dqn_landscape_data
data_files:
- "landscapes/atari_battle_zone_dqn.csv"
- "landscapes/atari_double_dunk_dqn.csv"
- "landscapes/atari_phoenix_dqn.csv"
- "landscapes/atari_qbert_dqn.csv"
- "landscapes/atari_this_game_dqn.csv"
- "landscapes/minigrid_door_key_dqn.csv"
- "landscapes/minigrid_empty_random_dqn.csv"
- "landscapes/minigrid_four_rooms_dqn.csv"
- "landscapes/minigrid_unlock_dqn.csv"
- "landscapes/cc_acrobot_dqn.csv"
- "landscapes/cc_cartpole_dqn.csv"
- "landscapes/cc_mountain_car_dqn.csv"
- "landscapes/box2d_lunar_lander_dqn.csv"
- config_name: sac_landscape_data
data_files:
- "landscapes/box2d_bipedal_walker_sac.csv"
- "landscapes/box2d_continuous_lunar_lander_sac.csv"
- "landscapes/brax_halfcheetah_sac.csv"
- "landscapes/brax_hopper_sac.csv"
- "landscapes/brax_ant_sac.csv"
- "landscapes/brax_humanoid_sac.csv"
- "landscapes/cc_continuous_mountain_car_sac.csv"
- "landscapes/cc_pendulum_sac.csv"
- config_name: ppo_optimisation_data
data_files:
- "rs/atari_battle_zone_ppo.csv"
- "rs/atari_double_dunk_ppo.csv"
- "rs/atari_phoenix_ppo.csv"
- "rs/atari_qbert_ppo.csv"
- "rs/atari_this_game_ppo.csv"
- "rs/box2d_continuous_lunar_lander_ppo.csv"
- "rs/box2d_lunar_lander_ppo.csv"
- "rs/brax_halfcheetah_ppo.csv"
- "rs/brax_hopper_ppo.csv"
- "rs/brax_ant_ppo.csv"
- "rs/brax_humanoid_ppo.csv"
- "rs/cc_acrobot_ppo.csv"
- "rs/cc_cartpole_ppo.csv"
- "rs/cc_continuous_mountain_car_ppo.csv"
- "rs/cc_mountain_car_ppo.csv"
- "rs/cc_pendulum_ppo.csv"
- "rs/minigrid_door_key_ppo.csv"
- "rs/minigrid_empty_random_ppo.csv"
- "rs/minigrid_four_rooms_ppo.csv"
- "rs/minigrid_unlock_ppo.csv"
- "smac/atari_battle_zone_ppo.csv"
- "smac/atari_double_dunk_ppo.csv"
- "smac/atari_phoenix_ppo.csv"
- "smac/atari_qbert_ppo.csv"
- "smac/atari_this_game_ppo.csv"
- "smac/box2d_continuous_lunar_lander_ppo.csv"
- "smac/box2d_lunar_lander_ppo.csv"
- "smac/brax_halfcheetah_ppo.csv"
- "smac/brax_hopper_ppo.csv"
- "smac/brax_ant_ppo.csv"
- "smac/brax_humanoid_ppo.csv"
- "smac/cc_acrobot_ppo.csv"
- "smac/cc_cartpole_ppo.csv"
- "smac/cc_continuous_mountain_car_ppo.csv"
- "smac/cc_mountain_car_ppo.csv"
- "smac/cc_pendulum_ppo.csv"
- "smac/minigrid_door_key_ppo.csv"
- "smac/minigrid_empty_random_ppo.csv"
- "smac/minigrid_four_rooms_ppo.csv"
- "smac/minigrid_unlock_ppo.csv"
- "smac_mf/atari_battle_zone_ppo.csv"
- "smac_mf/atari_double_dunk_ppo.csv"
- "smac_mf/atari_phoenix_ppo.csv"
- "smac_mf/atari_qbert_ppo.csv"
- "smac_mf/atari_this_game_ppo.csv"
- "smac_mf/box2d_continuous_lunar_lander_ppo.csv"
- "smac_mf/box2d_lunar_lander_ppo.csv"
- "smac_mf/brax_halfcheetah_ppo.csv"
- "smac_mf/brax_hopper_ppo.csv"
- "smac_mf/brax_ant_ppo.csv"
- "smac_mf/brax_humanoid_ppo.csv"
- "smac_mf/cc_acrobot_ppo.csv"
- "smac_mf/cc_cartpole_ppo.csv"
- "smac_mf/cc_continuous_mountain_car_ppo.csv"
- "smac_mf/cc_mountain_car_ppo.csv"
- "smac_mf/cc_pendulum_ppo.csv"
- "smac_mf/minigrid_door_key_ppo.csv"
- "smac_mf/minigrid_empty_random_ppo.csv"
- "smac_mf/minigrid_four_rooms_ppo.csv"
- "smac_mf/minigrid_unlock_ppo.csv"
- "pbt/atari_battle_zone_ppo.csv"
- "pbt/atari_double_dunk_ppo.csv"
- "pbt/atari_phoenix_ppo.csv"
- "pbt/atari_qbert_ppo.csv"
- "pbt/atari_this_game_ppo.csv"
- "pbt/box2d_continuous_lunar_lander_ppo.csv"
- "pbt/box2d_lunar_lander_ppo.csv"
- "pbt/brax_halfcheetah_ppo.csv"
- "pbt/brax_hopper_ppo.csv"
- "pbt/brax_ant_ppo.csv"
- "pbt/brax_humanoid_ppo.csv"
- "pbt/cc_acrobot_ppo.csv"
- "pbt/cc_cartpole_ppo.csv"
- "pbt/cc_continuous_mountain_car_ppo.csv"
- "pbt/cc_mountain_car_ppo.csv"
- "pbt/cc_pendulum_ppo.csv"
- "pbt/minigrid_door_key_ppo.csv"
- "pbt/minigrid_empty_random_ppo.csv"
- "pbt/minigrid_four_rooms_ppo.csv"
- "pbt/minigrid_unlock_ppo.csv"
- config_name: dqn_optimisation_data
data_files:
- "rs/atari_battle_zone_dqn.csv"
- "rs/atari_double_dunk_dqn.csv"
- "rs/atari_phoenix_dqn.csv"
- "rs/atari_qbert_dqn.csv"
- "rs/atari_this_game_dqn.csv"
- "rs/minigrid_door_key_dqn.csv"
- "rs/minigrid_empty_random_dqn.csv"
- "rs/minigrid_four_rooms_dqn.csv"
- "rs/minigrid_unlock_dqn.csv"
- "rs/cc_acrobot_dqn.csv"
- "rs/cc_cartpole_dqn.csv"
- "rs/cc_mountain_car_dqn.csv"
- "rs/box2d_lunar_lander_dqn.csv"
- "smac/atari_battle_zone_dqn.csv"
- "smac/atari_double_dunk_dqn.csv"
- "smac/atari_phoenix_dqn.csv"
- "smac/atari_qbert_dqn.csv"
- "smac/atari_this_game_dqn.csv"
- "smac/minigrid_door_key_dqn.csv"
- "smac/minigrid_empty_random_dqn.csv"
- "smac/minigrid_four_rooms_dqn.csv"
- "smac/minigrid_unlock_dqn.csv"
- "smac/cc_acrobot_dqn.csv"
- "smac/cc_cartpole_dqn.csv"
- "smac/cc_mountain_car_dqn.csv"
- "smac/box2d_lunar_lander_dqn.csv"
- "smac_mf/atari_battle_zone_dqn.csv"
- "smac_mf/atari_double_dunk_dqn.csv"
- "smac_mf/atari_phoenix_dqn.csv"
- "smac_mf/atari_qbert_dqn.csv"
- "smac_mf/atari_this_game_dqn.csv"
- "smac_mf/minigrid_door_key_dqn.csv"
- "smac_mf/minigrid_empty_random_dqn.csv"
- "smac_mf/minigrid_four_rooms_dqn.csv"
- "smac_mf/minigrid_unlock_dqn.csv"
- "smac_mf/cc_acrobot_dqn.csv"
- "smac_mf/cc_cartpole_dqn.csv"
- "smac_mf/cc_mountain_car_dqn.csv"
- "smac_mf/box2d_lunar_lander_dqn.csv"
- "pbt/atari_battle_zone_dqn.csv"
- "pbt/atari_double_dunk_dqn.csv"
- "pbt/atari_phoenix_dqn.csv"
- "pbt/atari_qbert_dqn.csv"
- "pbt/atari_this_game_dqn.csv"
- "pbt/minigrid_door_key_dqn.csv"
- "pbt/minigrid_empty_random_dqn.csv"
- "pbt/minigrid_four_rooms_dqn.csv"
- "pbt/minigrid_unlock_dqn.csv"
- "pbt/cc_acrobot_dqn.csv"
- "pbt/cc_cartpole_dqn.csv"
- "pbt/cc_mountain_car_dqn.csv"
- "pbt/box2d_lunar_lander_dqn.csv"
- config_name: sac_optimisation_data
data_files:
- "rs/box2d_bipedal_walker_sac.csv"
- "rs/box2d_continuous_lunar_lander_sac.csv"
- "rs/brax_halfcheetah_sac.csv"
- "rs/brax_hopper_sac.csv"
- "rs/brax_ant_sac.csv"
- "rs/brax_humanoid_sac.csv"
- "rs/cc_continuous_mountain_car_sac.csv"
- "rs/cc_pendulum_sac.csv"
- "smac/box2d_bipedal_walker_sac.csv"
- "smac/box2d_continuous_lunar_lander_sac.csv"
- "smac/brax_halfcheetah_sac.csv"
- "smac/brax_hopper_sac.csv"
- "smac/brax_ant_sac.csv"
- "smac/brax_humanoid_sac.csv"
- "smac/cc_continuous_mountain_car_sac.csv"
- "smac/cc_pendulum_sac.csv"
- "smac_mf/box2d_bipedal_walker_sac.csv"
- "smac_mf/box2d_continuous_lunar_lander_sac.csv"
- "smac_mf/brax_halfcheetah_sac.csv"
- "smac_mf/brax_hopper_sac.csv"
- "smac_mf/brax_ant_sac.csv"
- "smac_mf/brax_humanoid_sac.csv"
- "smac_mf/cc_continuous_mountain_car_sac.csv"
- "smac_mf/cc_pendulum_sac.csv"
- "pbt/box2d_bipedal_walker_sac.csv"
- "pbt/box2d_continuous_lunar_lander_sac.csv"
- "pbt/brax_halfcheetah_sac.csv"
- "pbt/brax_hopper_sac.csv"
- "pbt/brax_ant_sac.csv"
- "pbt/brax_humanoid_sac.csv"
- "pbt/cc_continuous_mountain_car_sac.csv"
- "pbt/cc_pendulum_sac.csv"
---
# **The ARLBench Performance Dataset**
[**ARLBench**](https://github.com/automl/arlbench) is a benchmark designed for **hyperparameter optimization (HPO) in Reinforcement Learning (RL)**. Given that we conducted several thousand runs to identify meaningful HPO test settings for RL, we have compiled these results into a dataset for future research and applications.
This dataset can be leveraged to:
- **Meta-learn insights** about the hyperparameter landscape in RL.
- **Warm-start HPO tools** by utilizing previously explored configurations.
### **Dataset Details**
The dataset includes:
- **Landscape data:** 10 runs each for PPO, DQN, and SAC across:
- Atari-5 environments
- Four XLand gridworlds
- Four Brax walkers
- Five classic control environments
- Two Box2D environments
- **Optimization data:** 3 runs per optimization algorithm for each algorithm-environment combination, covering:
- Population-Based Training (PBT)
- SMAC
- SMAC with Multi-Fidelity
- Random Search
### **Dataset Mapping**
The dataset follows this mapping:
$$\text{training steps, seed, hyperparameter configuration} \mapsto \text{training performance}$$
For optimization runs, it additionally includes:
- **Optimization seed**: Differentiates between the five optimization runs per algorithm-environment pair.
- **Optimization step**: Tracks configurations evaluated at different steps.
### **Example Usage**
You can find example notebooks demonstrating how to use:
- **[Landscape data](https://github.com/automl/arlbench/blob/main/examples/landscape_analysis.ipynb)**
- **[Optimization data](https://github.com/automl/arlbench/blob/main/examples/optimization_data_analysis.ipynb)**
For more details, refer to the **[ARLBench paper](https://arxiv.org/abs/2409.18827)**.
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