* remove dummy net; delete two files
* split code to have backbone and head
* rename class
* change torch.float to torch.float32
* use flatten(1) instead of view(batch, -1)
* remove dummy net in docs
* bugfix for rnn
* fix cuda error
* minor fix of docs
* do not change the example code in dqn tutorial, since it is for demonstration
Co-authored-by: Trinkle23897 <463003665@qq.com>
* add sum_tree.py
* add prioritized replay buffer
* del sum_tree.py
* fix some format issues
* fix weight_update bug
* simply replace replaybuffer in test_dqn without weight update
* weight default set to 1
* fix sampling bug when buffer is not full
* rename parameter
* fix formula error, add accuracy check
* add PrioritizedDQN test
* add test_pdqn.py
* add update_weight() doc
* add ref of prio dqn in readme.md and index.rst
* restore test_dqn.py, fix args of test_pdqn.py
