Comments (1)
p/p as low priority
from agentnet.
Related Issues (20)
- Original DQN Example HOT 1
- Deprecation list
- Dockerfile aka "makeitwork"
- Hierarchical MDP as a demo?
- Brief outline of modules HOT 3
- AgentNet recurrence won't compile if batch_size = 1 and unroll_scan=False and at least one input is a single-element vector. HOT 2
- canonicalize LSTM HOT 3
- example:Qlearning with normalized advantage functions HOT 1
- grad dtypes mismatch in some rare case HOT 2
- better weights management for memory layers
- DPG refactor and demo HOT 1
- Vectorized environment
- deprecate preprocess_observation HOT 1
- BaseResolver returns int64 HOT 1
- Support both Theano (Lasagne; Keras) and Tensorflow (Keras) backend HOT 1
- policy_estimators param is weird HOT 3
- Targetnet of layer on top of LSTMCell results in deepcopy error HOT 3
- batch_size parameter is wierd HOT 1
- Destination GpuArray is not contiguous HOT 5
- attention tests HOT 1
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from agentnet.