stevenpjg ddpg-aigym issues - Githubissues

stevenpjg / ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

MIT License

272 stars 74 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

what the grad_inverter means?

#15 pringwong closed 5 years ago
1
Error with GLEW initialization

#14 williamissirius closed 5 years ago
2
A question of running speed about your code

#13 zhuyifengzju closed 6 years ago
7
A question on action_gradients in critic_net_bn.py

#12 pxlong closed 6 years ago
1
Run the codes in the "Reacher" task

#11 cardwing closed 7 years ago
1
how to visualize the result with "episode_reward"

#10 937552416 closed 7 years ago
1
can't import gym:no module named gym,The problem is I have installed gym,why?

#9 Alpslee closed 7 years ago
10
Error when running in batch norm mode

#8 sahiliitm closed 7 years ago
0
Question on Loss function of Critic Network training

#7 RuofanKong closed 8 years ago
1
It si very very slow for Pendulum-v0 of classic control environment

#6 sarvghotra closed 8 years ago
1
Error, when ran for other environments like reacher-v1.

#5 sarvghotra closed 8 years ago
1
Need help to understand how grad-inv accelerate learning process

#4 sarvghotra closed 8 years ago
1
Number of nodes in a hidden layer are different from the DDPG paper

#3 sarvghotra closed 8 years ago
1
Need help to understand a step

#2 sarvghotra closed 8 years ago
1
Error spotted

#1 sarvghotra closed 8 years ago
1