ray/rllib/tuned_examples/dqn/atari-dqn.yaml
2022-05-17 13:43:49 +02:00

33 lines
960 B
YAML

# Runs on a single g3.4xl node
# See https://github.com/ray-project/rl-experiments for results
atari-basic-dqn:
env:
grid_search:
- BreakoutNoFrameskip-v4
- BeamRiderNoFrameskip-v4
- QbertNoFrameskip-v4
- SpaceInvadersNoFrameskip-v4
run: DQN
config:
# Works for both torch and tf.
framework: tf
double_q: false
dueling: false
num_atoms: 1
noisy: false
replay_buffer_config:
type: MultiAgentReplayBuffer
learning_starts: 20000
capacity: 1000000
n_step: 1
target_network_update_freq: 8000
lr: .0000625
adam_epsilon: .00015
hiddens: [512]
rollout_fragment_length: 4
train_batch_size: 32
exploration_config:
epsilon_timesteps: 200000
final_epsilon: 0.01
num_gpus: 0.2
min_sample_timesteps_per_reporting: 10000