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Using Theano backend. [2016-05-28 11:20:04,559] Making new env: HumanoidStandup-v1 policy gradient config {'lam': 0.97, 'cg_damping': 0.1, 'env': 'HumanoidStandup-v1', 'plot': False, 'activation': 'tanh', 'agent': 'modular_rl.agentzoo.TrpoAgent', 'outfile': '/tmp/a.h5', 'max_kl': 0.01, 'timestep_limit': 1000, 'video': 1, 'snapshot_every': 0, 'parallel': 0, 'n_iter': 1500, 'load_snapshot': '', 'filter': 1, 'use_hdf': 0, 'seed': 0, 'hid_sizes': [64, 64], 'timesteps_per_batch': 25000, 'gamma': 0.995, 'metadata': ''} Traceback (most recent call last): File "run_pg.py", line 61, in run_policy_gradient_algorithm(env, agent, callback=callback, usercfg = cfg) File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 88, in run_policy_gradient_algorithm paths = get_paths(env, agent, cfg, seed_iter) File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 106, in get_paths paths = do_rollouts_serial(env, agent, cfg["timestep_limit"], cfg["timesteps_per_batch"], seed_iter) File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 143, in do_rollouts_serial path = rollout(env, agent, timestep_limit) File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 127, in rollout rew = agent.rewfilt(rew) File "/Users/lmj/develop/gym-modular_rl/modular_rl/agentzoo.py", line 103, in rewfilt return self.rewfilter(rew) File "/Users/lmj/develop/gym-modular_rl/modular_rl/filters.py", line 31, in call if update: self.rs.push(x) File "/Users/lmj/develop/gym-modular_rl/modular_rl/running_stat.py", line 11, in push assert x.shape == self._M.shape AssertionError
The text was updated successfully, but these errors were encountered:
i find the cause; need some time fix in HumanoidStandup-v1 model;
fixed!
Sorry, something went wrong.
OK, so the problem is in the Environment?
yes error is because env ,this issue can be close.
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Using Theano backend.
[2016-05-28 11:20:04,559] Making new env: HumanoidStandup-v1
policy gradient config {'lam': 0.97, 'cg_damping': 0.1, 'env': 'HumanoidStandup-v1', 'plot': False, 'activation': 'tanh', 'agent': 'modular_rl.agentzoo.TrpoAgent', 'outfile': '/tmp/a.h5', 'max_kl': 0.01, 'timestep_limit': 1000, 'video': 1, 'snapshot_every': 0, 'parallel': 0, 'n_iter': 1500, 'load_snapshot': '', 'filter': 1, 'use_hdf': 0, 'seed': 0, 'hid_sizes': [64, 64], 'timesteps_per_batch': 25000, 'gamma': 0.995, 'metadata': ''}
Traceback (most recent call last):
File "run_pg.py", line 61, in
run_policy_gradient_algorithm(env, agent, callback=callback, usercfg = cfg)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 88, in run_policy_gradient_algorithm
paths = get_paths(env, agent, cfg, seed_iter)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 106, in get_paths
paths = do_rollouts_serial(env, agent, cfg["timestep_limit"], cfg["timesteps_per_batch"], seed_iter)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 143, in do_rollouts_serial
path = rollout(env, agent, timestep_limit)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/core.py", line 127, in rollout
rew = agent.rewfilt(rew)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/agentzoo.py", line 103, in rewfilt
return self.rewfilter(rew)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/filters.py", line 31, in call
if update: self.rs.push(x)
File "/Users/lmj/develop/gym-modular_rl/modular_rl/running_stat.py", line 11, in push
assert x.shape == self._M.shape
AssertionError
The text was updated successfully, but these errors were encountered: