ray/rllib/tuned_examples/cql/hopper-cql.yaml

44 lines
1.2 KiB
YAML

hopper_cql:
env: Hopper-v2
run: CQL
config:
# SAC Configs
input: d4rl.hopper-random-v1
framework: torch
horizon: 1000
soft_horizon: false
Q_model:
fcnet_activation: relu
fcnet_hiddens: [256, 256, 256]
policy_model:
fcnet_activation: relu
fcnet_hiddens: [256, 256, 256]
tau: 0.005
target_entropy: auto
no_done_at_end: false
n_step: 1
rollout_fragment_length: 1
prioritized_replay: false
train_batch_size: 256
target_network_update_freq: 1
timesteps_per_iteration: 1000
learning_starts: 10000
optimization:
actor_learning_rate: 0.0003
critic_learning_rate: 0.0003
entropy_learning_rate: 0.0003
num_workers: 0
num_gpus: 1
clip_actions: false
normalize_actions: true
evaluation_interval: 1
metrics_smoothing_episodes: 5
# CQL Configs
min_q_weight: 5.0
bc_iters: 20000
temperature: 1.0
num_actions: 10
lagrangian: False
evaluation_config:
input: sampler