Hello, I was trying to work this out on my end from scratch, I have got it to the point of training the model and also visualize but it seems to drop in the middle of the training session without saving the model.
VC:
Python : 3.8.10
tensorflow = 2.3.1
Windows = 11
No IDLE, Using script mode from windows power shell virtual env.
Below is the complete Traceback of the error I received.
2022-03-07 04:17:43.095316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-03-07 04:17:43.100610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]
Traceback (most recent call last):
File "RL-Bitcoin-trading-bot_7.py", line 501, in
train_multiprocessing(CustomEnv, agent, train_df, train_df_nomalized, num_worker = 5, training_batch_size=50, visualize=True, EPISODES=5)
File "D:\Mine\RLCurrent\multiprocessing_env.py", line 95, in train_multiprocessing
a_loss, c_loss = agent.replay(states[worker_id], actions[worker_id], rewards[worker_id], predictions[worker_id], dones[worker_id], next_states[worker_id])
File "RL-Bitcoin-trading-bot_7.py", line 121, in replay
advantages, target = self.get_gaes(rewards, dones, np.squeeze(values), np.squeeze(next_values))
File "RL-Bitcoin-trading-bot_7.py", line 93, in get_gaes
deltas = [r + gamma * (1 - d) * nv - v for r, d, nv, v in zip(rewards, dones, next_values, values)]
File "RL-Bitcoin-trading-bot_7.py", line 93, in
deltas = [r + gamma * (1 - d) * nv - v for r, d, nv, v in zip(rewards, dones, next_values, values)]
TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
Any sort of help is highly appreciated. If needed I'll post code snippets as well for more clarity.
Thanks.
Hello, I was trying to work this out on my end from scratch, I have got it to the point of training the model and also visualize but it seems to drop in the middle of the training session without saving the model.
VC:
Python : 3.8.10
tensorflow = 2.3.1
Windows = 11
No IDLE, Using script mode from windows power shell virtual env.
Below is the complete Traceback of the error I received.
2022-03-07 04:17:43.095316: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-03-07 04:17:43.100610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]
Traceback (most recent call last):
File "RL-Bitcoin-trading-bot_7.py", line 501, in
train_multiprocessing(CustomEnv, agent, train_df, train_df_nomalized, num_worker = 5, training_batch_size=50, visualize=True, EPISODES=5)
File "D:\Mine\RLCurrent\multiprocessing_env.py", line 95, in train_multiprocessing
a_loss, c_loss = agent.replay(states[worker_id], actions[worker_id], rewards[worker_id], predictions[worker_id], dones[worker_id], next_states[worker_id])
File "RL-Bitcoin-trading-bot_7.py", line 121, in replay
advantages, target = self.get_gaes(rewards, dones, np.squeeze(values), np.squeeze(next_values))
File "RL-Bitcoin-trading-bot_7.py", line 93, in get_gaes
deltas = [r + gamma * (1 - d) * nv - v for r, d, nv, v in zip(rewards, dones, next_values, values)]
File "RL-Bitcoin-trading-bot_7.py", line 93, in
deltas = [r + gamma * (1 - d) * nv - v for r, d, nv, v in zip(rewards, dones, next_values, values)]
TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
Any sort of help is highly appreciated. If needed I'll post code snippets as well for more clarity.
Thanks.