This package provides a Lasagne/Theano-based implementation of the deep Q-learning algorithm described in: Playing Atari with Deep Reinforcement Learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller and Mnih, Volodymyr, et al. "Human-level control through deep reinforcement learning." Nature 518.7540 (2015): 529-533. Here is a video showing a trained network playing breakout (using an earlier version of the code): http://youtu.be/SZ88F82KLX4

Filename	Size	Update
deep_q_rl-master	0	2016-06-04
deep_q_rl-master\.gitignore	11	2016-06-04
deep_q_rl-master\LICENSE.txt	1501	2016-06-04
deep_q_rl-master\README.md	3669	2016-06-04
deep_q_rl-master\README_OSX.md	605	2016-06-04
deep_q_rl-master\deep_q_rl	0	2016-06-04
deep_q_rl-master\deep_q_rl\__init__.py	0	2016-06-04
deep_q_rl-master\deep_q_rl\ale_agent.py	10505	2016-06-04
deep_q_rl-master\deep_q_rl\ale_data_set.py	9043	2016-06-04
deep_q_rl-master\deep_q_rl\ale_experiment.py	6719	2016-06-04
deep_q_rl-master\deep_q_rl\ale_run_watch.py	519	2016-06-04
deep_q_rl-master\deep_q_rl\launcher.py	12791	2016-06-04
deep_q_rl-master\deep_q_rl\plot_filters.py	772	2016-06-04
deep_q_rl-master\deep_q_rl\plot_results.py	837	2016-06-04
deep_q_rl-master\deep_q_rl\q_network.py	17031	2016-06-04
deep_q_rl-master\deep_q_rl\run_nature.py	1834	2016-06-04
deep_q_rl-master\deep_q_rl\run_nips.py	1394	2016-06-04
deep_q_rl-master\deep_q_rl\setup.py	195	2016-06-04
deep_q_rl-master\deep_q_rl\test	0	2016-06-04
deep_q_rl-master\deep_q_rl\test\test_q_network.py	7906	2016-06-04
deep_q_rl-master\deep_q_rl\updates.py	4939	2016-06-04
deep_q_rl-master\dep_script.sh	1255	2016-06-04
deep_q_rl-master\roms	0	2016-06-04
deep_q_rl-master\roms\rom_link.md	124	2016-06-04

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