Related Issues (20)
- DDPG ValueError: name for name_scope must be a string. HOT 4
- Soft Actor Critic
- TypeError: len is not well defined for symbolic Tensors. (activation_4/Identity:0) Please call `x.shape` rather than `len(x)` for shape information. HOT 17
- Did someone know why DQN agent add one shape to array? HOT 4
- It requires tensorflow==2.0.0-beta1 and should require the stable version HOT 1
- AttributeError when running dqn_cartpole.py HOT 3
- Agent fails with sequential data
- please add PPO, A3C... HOT 1
- Pip install fails because of tf-version (pypi lists only version 1.0.2) HOT 1
- AttributeError: Tensor.op is meaningless when eager execution is enabled HOT 2
- AttributeError: 'Sequential' object has no attribute 'uses_learning_phase' HOT 1
- ERROR: keras-rl2 1.0.3 has requirement tensorflow==2.0.0-beta1, but you'll have tensorflow 2.1.0 which is incompatible. HOT 1
- AttributeError: No rl.__version__ information
- Preprocessing Data from Observations
- ValueError: Variable Tensor("Mean_1:0", shape=(), dtype=float32) has `None` for gradient while training DDPG
- "IndexError: list index out of range" in examples/dqn_cartpole.py
- Problem logging with tensorboard HOT 2
- DDPGAgent is incompatible with MultiInputProcessor for HandReach-v0 env
- Reference to model is changed when training starts
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