27 lines
550 B
Python
27 lines
550 B
Python
import gym
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from core.trpo import trpo
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from core.value import Value
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from core.policy import Policy
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import torch.optim
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env_fn = lambda _: gym.make('BipedalWalker-v3')
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policy = Policy(env_fn(0).action_space.shape[0])
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value = Value()
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v_opt = torch.optim.Adam(value.parameters(), lr=1e-2)
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trpo(
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env_fn=env_fn,
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value=value,
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policy=policy,
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epochs=1000,
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rollout_episodes=20,
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rollout_steps=250,
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gamma=0.99,
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gae_lambda=0.9,
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delta=0.01,
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backtrack_coeff=0.8,
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backtrack_iters=10,
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v_opt=v_opt,
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v_iters=1000,
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)
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