Shangtong Zhang
f2db4e8819
Support gym robotics
2018-04-24 21:49:25 -06:00
Shangtong Zhang
92f0366175
Refactor replay
2018-04-21 11:21:48 -06:00
Shangtong Zhang
af1cc11669
Update ACVP
2018-04-10 11:25:59 -06:00
Shangtong Zhang
0f3f49252b
Support DM Control
2018-04-07 20:53:29 -06:00
Shangtong Zhang
8623fe849b
Regenerate images
2018-04-07 10:11:33 -06:00
Shangtong Zhang
8dfe6ff7c8
Rewrite state/reward normalizer
2018-04-06 11:36:44 -06:00
Shangtong Zhang
549e4af3b8
Rewrite PPO
2018-04-05 22:32:34 -06:00
Shangtong Zhang
8ad31c79b8
Update DDPG
2018-04-04 21:54:26 -06:00
Shangtong Zhang
61a4bcce17
Rewrite log system
2018-04-04 20:44:08 -06:00
Shangtong Zhang
63f8027199
Use openai atari wrapper
2018-04-03 20:20:18 -06:00
Shangtong Zhang
e427e8f73f
Add baselines' plotter
2018-04-02 15:22:56 -06:00
Shangtong Zhang
a907dac0bb
Ram Atari
2018-02-19 13:55:57 -07:00
Shangtong Zhang
6de8062702
Code cleanup
2018-02-12 14:27:40 -07:00
Shangtong Zhang
790c8f5cb9
Orthogonal init
2018-02-12 11:58:30 -07:00
Shangtong Zhang
d4aa8d4a22
Update for latest gym
2018-02-09 22:02:58 -07:00
Shangtong Zhang
b24593352d
Remove PIL
2018-02-09 16:34:30 -07:00
Shangtong Zhang
e91ec3be45
Specify a gpu for a network
2018-02-03 10:53:14 -07:00
Shangtong Zhang
e7a568598d
Stack frame wrapper
2018-02-02 23:55:14 -07:00
Shangtong Zhang
bf4ac20847
Merge pull request #22 from wassname/patch-5
...
load and save for SharedReplay
2018-02-02 15:23:00 -07:00
Mike Clark
9b7d21a0f2
load and save for SharedReplay
...
Not sure if your interested in adding this, it just supports saving and loading SharedReplay. For example if you want to load previous DDPG experience.
2018-02-02 15:11:44 +08:00
Shangtong Zhang
ad9189e25a
Code cleanup
2018-01-31 21:00:19 -07:00
Shangtong Zhang
797f80d5ff
Code cleanup
2018-01-31 20:14:33 -07:00
Shangtong Zhang
ceaf83bca3
Support A2C
2018-01-31 16:19:33 -07:00
Shangtong Zhang
964734755f
Expose original Atari game reward
2017-12-23 20:52:17 -07:00
Shangtong Zhang
214f7693c2
Generate dataset for video prediction
2017-12-16 20:03:11 -07:00
Shangtong Zhang
8c197e183c
Support D3PG
2017-11-11 19:41:52 -07:00
Shangtong Zhang
edc4e89b9b
Update DDPG
2017-11-11 15:27:06 -07:00
Shangtong Zhang
41627588fb
Action dim
2017-11-09 16:38:42 -07:00
Shangtong Zhang
a59f2d2911
Benchmark DDPG with Roboschool
2017-10-27 23:09:24 -06:00
Shangtong Zhang
af360bb9ea
Support roboschool
2017-10-27 14:23:54 -06:00
Shangtong Zhang
6682937b54
Support python3 and pytorch 0.2
2017-10-26 23:01:57 -06:00
Shangtong Zhang
1b6de16b4f
Fix a critical bug in DDPG
2017-10-15 10:05:33 -06:00
Shangtong Zhang
c5cbc10f94
Refactor DDPG
2017-10-06 11:16:21 -06:00
Shangtong Zhang
e58938e3fe
Support async PPO, which doesn't work
2017-10-04 22:33:26 -06:00
Shangtong Zhang
27f54ed420
Single thread PPO
2017-10-04 09:33:35 -06:00
Shangtong Zhang
e60e9feecb
Refactor for HRA
2017-08-29 22:10:13 -06:00
Shangtong Zhang
d52182882a
Implementation of hybrid reward architecture
2017-08-29 21:52:26 -06:00
Shangtong Zhang
5116733f22
DDPG Pendulum
2017-08-01 10:52:14 -06:00
Shangtong Zhang
1be3b44999
Continuous A3C
2017-07-31 22:53:09 -06:00
Shangtong Zhang
ce504e2d0f
Major refactor
2017-07-26 18:18:49 -06:00