Itai Caspi 55c8c87afc allow visualizing the observation + bug fixes to coach summary

2018-02-15 13:47:14 +02:00

..

__init__.py

Release 0.9

2017-12-19 19:27:16 +02:00

actor_critic_agent.py

appending csv's from logger instead of rewriting them

2018-02-12 14:52:50 +02:00

agent.py

allow visualizing the observation + bug fixes to coach summary

2018-02-15 13:47:14 +02:00

bc_agent.py

Release 0.9

2017-12-19 19:27:16 +02:00

bootstrapped_dqn_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

categorical_dqn_agent.py

new feature - implementation of Quantile Regression DQN (https://arxiv.org/pdf/1710.10044v1.pdf)

2017-11-01 15:09:07 +02:00

clipped_ppo_agent.py

imporved API for getting / setting variables within the graph

2017-10-31 10:51:48 +02:00

ddpg_agent.py

fixed the LSTM middleware initialization

2018-01-09 10:26:15 +02:00

ddqn_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

dfp_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

distributional_dqn_agent.py

Release 0.9

2017-12-19 19:27:16 +02:00

dqn_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

human_agent.py

Release 0.9

2017-12-19 19:27:16 +02:00

imitation_agent.py

Release 0.9

2017-12-19 19:27:16 +02:00

mmc_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

n_step_q_agent.py

appending csv's from logger instead of rewriting them

2018-02-12 14:52:50 +02:00

naf_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

nec_agent.py

update nec and value optimization agents to work with recurrent middleware

2018-01-05 20:16:51 -05:00

pal_agent.py

coach v0.8.0

2017-10-19 13:10:15 +03:00

policy_gradients_agent.py

appending csv's from logger instead of rewriting them

2018-02-12 14:52:50 +02:00

policy_optimization_agent.py

fixed the LSTM middleware initialization

2018-01-09 10:26:15 +02:00

ppo_agent.py

fixed the LSTM middleware initialization

2018-01-09 10:26:15 +02:00

qr_dqn_agent.py

QR-DQN bug fix and imporvements (#30)

2017-11-29 14:01:59 +02:00

value_optimization_agent.py

provide a helpful error message in the event that an exploration policy returns a vector of actions instead of a single action during value optimization agent

2018-01-20 14:11:24 -05:00