Problem with input shape of Conv1d in tfagents sequential network #756
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ashishbhong82
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env = TradingEnv(df=df.head(100000), lkb=1000)
tf_env = tf_py_environment.TFPyEnvironment(env)
TimeStep Specs
TimeStep Specs: TimeStep( {'discount': BoundedTensorSpec(shape=(), dtype=tf.float32, name='discount', minimum=array(0., dtype=float32), maximum=array(1., dtype=float32)), 'observation': BoundedTensorSpec(shape=(1001,), dtype=tf.float32, name='_observation', minimum=array(0., dtype=float32), maximum=array(3.4028235e+38, dtype=float32)), 'reward': TensorSpec(shape=(), dtype=tf.float32, name='reward'), 'step_type': TensorSpec(shape=(), dtype=tf.int32, name='step_type')}) Action Specs: BoundedTensorSpec(shape=(), dtype=tf.int32, name='_action', minimum=array(0, dtype=int32), maximum=array(2, dtype=int32))
DQN_Agent
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