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Batch, Off-policy and Model-free Apprenticeship Learning(LSTD-mu, or BOMAP) with TF1.5

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legacy_folder
legacy_folder
 
 
utils
utils
 
 
.gitignore
.gitignore
 
 
LSPI&BOMAP_final_meeting.pdf
LSPI&BOMAP_final_meeting.pdf
 
 
LSPI&BOMAP_first_meeting.pdf
LSPI&BOMAP_first_meeting.pdf
 
 
LSPI&BOMAP_initiative.pdf
LSPI&BOMAP_initiative.pdf
 
 
README.md
README.md
 
 
bomap_main.py
bomap_main.py
 
 
bomap_mc_main.py
bomap_mc_main.py
 
 
bomap_mc_with_dan_main.py
bomap_mc_with_dan_main.py
 
 
bomap_with_dan_main.py
bomap_with_dan_main.py
 
 
dandqn_main.py
dandqn_main.py
 
 
dandrndqn_main.py
dandrndqn_main.py
 
 
deep_action_network.py
deep_action_network.py
 
 
deep_cartpole.py
deep_cartpole.py
 
 
deep_q_network.py
deep_q_network.py
 
 
deep_q_network_without_drn.py
deep_q_network_without_drn.py
 
 
deep_reward_network.py
deep_reward_network.py
 
 
irl_test.py
irl_test.py
 
 
lspi.py
lspi.py
 
 
lstd_mu.py
lstd_mu.py
 
 
policy.py
policy.py
 
 
rbf.py
rbf.py
 
 
record.py
record.py
 
 
replay_memory.py
replay_memory.py
 
 
reward_basis.py
reward_basis.py
 
 
setup.cfg
setup.cfg
 
 
test.py
test.py
 
 
tf_utils.py
tf_utils.py
 
 

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LSTD-mu

LSTD-mu?

Batch, Off-policy and Model-free Apprenticeship Learning

(Projection method[Abbeel, Ng. 2004] + LSPI + LSTD-mu)

Dependency

Language

  • python3.6

Libraries

  • Tensorflow 1.5.0
  • gym (openai gym)
  • Numpy

Run

python3 bomap_main.py (default)

python3 bomap\_{}\_main.py (under construction)

Detail

(under construction)

Deep Action Network(DAN) for deep basis function features instead of simple basis function

IRL_DAN + Deep Reward Network(DRN) for irl instead of Projection method

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Batch, Off-policy and Model-free Apprenticeship Learning(LSTD-mu, or BOMAP) with TF1.5

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