VPG playing CartPole-v1 from https://github.com/sgoodfriend/rl-algo-impls/tree/983cb75e43e51cf4ef57f177194ab9a4a1a8808b
ec6152b
CartPole-v1: &cartpole-defaults | |
n_timesteps: !!float 5e5 | |
env_hyperparams: | |
n_envs: 8 | |
CartPole-v0: | |
<<: *cartpole-defaults | |
MountainCar-v0: | |
n_timesteps: !!float 1e6 | |
env_hyperparams: | |
n_envs: 16 | |
normalize: true | |
MountainCarContinuous-v0: | |
n_timesteps: !!float 1e5 | |
env_hyperparams: | |
n_envs: 4 | |
normalize: true | |
# policy_hyperparams: | |
# use_sde: true | |
# log_std_init: 0.0 | |
# init_layers_orthogonal: false | |
algo_hyperparams: | |
n_steps: 100 | |
sde_sample_freq: 16 | |
Acrobot-v1: | |
n_timesteps: !!float 5e5 | |
env_hyperparams: | |
normalize: true | |
n_envs: 16 | |
# Tuned | |
LunarLander-v2: | |
device: cpu | |
n_timesteps: !!float 1e6 | |
env_hyperparams: | |
n_envs: 4 | |
normalize: true | |
algo_hyperparams: | |
n_steps: 2 | |
gamma: 0.9955517404308908 | |
gae_lambda: 0.9875340918797773 | |
learning_rate: 0.0013814130817068916 | |
learning_rate_decay: linear | |
ent_coef: !!float 3.388369146384422e-7 | |
ent_coef_decay: none | |
max_grad_norm: 3.33982095073364 | |
normalize_advantage: true | |
vf_coef: 0.1667838310548184 | |
BipedalWalker-v3: | |
n_timesteps: !!float 5e6 | |
env_hyperparams: | |
n_envs: 16 | |
normalize: true | |
policy_hyperparams: | |
use_sde: true | |
log_std_init: -2 | |
init_layers_orthogonal: false | |
algo_hyperparams: | |
ent_coef: 0 | |
max_grad_norm: 0.5 | |
n_steps: 8 | |
gae_lambda: 0.9 | |
vf_coef: 0.4 | |
gamma: 0.99 | |
learning_rate: !!float 9.6e-4 | |
learning_rate_decay: linear | |
HalfCheetahBulletEnv-v0: &pybullet-defaults | |
n_timesteps: !!float 2e6 | |
env_hyperparams: | |
n_envs: 4 | |
normalize: true | |
policy_hyperparams: | |
use_sde: true | |
log_std_init: -2 | |
init_layers_orthogonal: false | |
algo_hyperparams: &pybullet-algo-defaults | |
n_steps: 8 | |
ent_coef: 0 | |
max_grad_norm: 0.5 | |
gae_lambda: 0.9 | |
gamma: 0.99 | |
vf_coef: 0.4 | |
learning_rate: !!float 9.6e-4 | |
learning_rate_decay: linear | |
AntBulletEnv-v0: | |
<<: *pybullet-defaults | |
Walker2DBulletEnv-v0: | |
<<: *pybullet-defaults | |
HopperBulletEnv-v0: | |
<<: *pybullet-defaults | |
# Tuned | |
CarRacing-v0: | |
n_timesteps: !!float 4e6 | |
env_hyperparams: | |
n_envs: 4 | |
frame_stack: 4 | |
normalize: true | |
normalize_kwargs: | |
norm_obs: false | |
norm_reward: true | |
policy_hyperparams: | |
use_sde: true | |
log_std_init: -4.839609092563 | |
init_layers_orthogonal: true | |
activation_fn: tanh | |
share_features_extractor: false | |
cnn_flatten_dim: 256 | |
hidden_sizes: [256] | |
algo_hyperparams: | |
n_steps: 64 | |
learning_rate: 0.000018971962220405576 | |
gamma: 0.9942776405534832 | |
gae_lambda: 0.9549244758833236 | |
ent_coef: 0.0000015666550584860516 | |
ent_coef_decay: linear | |
vf_coef: 0.12164696385898476 | |
max_grad_norm: 2.2574480552177127 | |
normalize_advantage: false | |
use_rms_prop: false | |
sde_sample_freq: 16 | |
_atari: &atari-defaults | |
n_timesteps: !!float 1e7 | |
env_hyperparams: &atari-env-defaults | |
n_envs: 16 | |
frame_stack: 4 | |
no_reward_timeout_steps: 1000 | |
no_reward_fire_steps: 500 | |
vec_env_class: async | |
policy_hyperparams: &atari-policy-defaults | |
activation_fn: relu | |
algo_hyperparams: | |
ent_coef: 0.01 | |
vf_coef: 0.25 | |