Datasets:
| seed: 20260511 | |
| episode_steps: 24 | |
| data_dir: data/datasets | |
| output_dir: outputs/runs | |
| figures_dir: figures | |
| action_mode: continuous | |
| discrete_levels: 5 | |
| no_physics_penalty: false | |
| market: | |
| initial_liquidity: 1.0 | |
| initial_token_price: 1.0 | |
| min_reward_ratio: 0.05 | |
| max_reward_ratio: 0.65 | |
| min_liquidity_ratio: 0.20 | |
| max_liquidity_ratio: 0.95 | |
| max_burn_rate: 0.20 | |
| max_total_allocation: 0.98 | |
| static_reward_ratio: 0.25 | |
| static_liquidity_ratio: 0.75 | |
| static_burn_rate: 0.02 | |
| reward: | |
| drawdown_penalty: 1.50 | |
| action_jitter_penalty: 0.25 | |
| unmet_demand_penalty: 0.40 | |
| physics_penalty: 2.00 | |
| fairness_penalty: 0.20 | |
| training: | |
| timesteps: 10000 | |
| n_envs: 1 | |
| learning_rate: 0.0003 | |
| batch_size: 64 | |
| gamma: 0.98 | |
| evaluation: | |
| episodes: 5 | |
| policies: | |
| - static | |
| - random | |
| - myopic | |