PPO | PPO implementation for OpenAI gym environment | Reinforcement Learning library
kandi X-RAY | PPO Summary
kandi X-RAY | PPO Summary
PPO implementation for OpenAI gym environment based on Unity ML Agents:
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Top functions reviewed by kandi - BETA
- Perform a single action
- Run one step
- Run loop
- Convert a state to a dictionary
- Generate reward for each agent
- Calculate a discount reward
- Concatenate history
- Empty agent history
- Update the model
- Shuffle the global buffer
- Take a single action
- Resets the history of the agent
- Empty all history of agent_info
- Step an episode
- Create an agent model
- Run the main loop
- Write a text summary
- Writes a summary
- Exports the given model
- Save a model
- Closes the environment
- Resume playback
PPO Key Features
PPO Examples and Code Snippets
Community Discussions
Trending Discussions on PPO
QUESTION
I am trying to train a custom environment using PPO via Stable-Baselines3 and OpenAI Gym. For some reason the rollout statistics are not being reported for this custom environment when I try to train the PPO model.
The code that I am using is below ( I have not included the code for the CustomEnv for brevity):
...ANSWER
Answered 2022-Apr-11 at 16:15SOLVED: There was an edge case where the environment was not ending, and the done variable remained False indefinitely.
After fixing this bug, the Rollout statistics reappeared.
QUESTION
I am currently training a PPO model for a simulation. The PPO model fails to understand that certain conditions will lead to no reward.
These conditions that lead to no reward are very simple rules. I was trying to use these rules to create an 'expert' that the PPO model could use for imitation learning.
Example of Expert-Based Rules:
If resource A is unavailable, then don't select that resource.
If "X" & "Y" don't match, then don't select those.
Example with Imitations Library
I was looking at the "imitations" python library. The example there shows an expert that is a PPO model with more iterations.
https://github.com/HumanCompatibleAI/imitation/blob/master/examples/1_train_bc.ipynb
Questions:
Is there a way to convert the simple "rule-based" expert into a PPO model which can be used for imitation learning?
Or is there a different approach to using a "rule-based" expert in imitation learning?
...ANSWER
Answered 2022-Apr-09 at 12:30Looking at how behavioural cloning is implemented:
QUESTION
I am trainig a reinforcement learning model on google colab using tune and rllib.
At first I was able to show the training results useing tensorboard but it is no longer working and I can't seem to find where it comes from, I didn't change anything so I feel a bit lost here.
What it shows (the directory is the right one) :
The training phase:
...ANSWER
Answered 2022-Mar-25 at 02:06You are using Rllib, right? I actually don't see the tensorboard file (i.e. events.out.tfevents.xxx.xxx) in your path. Maybe you should check if you have this file first.
QUESTION
import SwiftUI
struct TimerView: View {
@EnvironmentObject var tm : TimerModel
@State var timerStyle : TimerStyle?
@State var focusColors : [Color] = [Color.green, Color.mint, Color.green, Color.mint, Color.green]
@State var breakColors : [Color] = [Color.blue, Color.mint, Color.blue, Color.mint, Color.blue]
@State var longBreakColors : [Color] = [Color.gray, Color.white, Color.gray, Color.white, Color.gray]
@State var isShowNewTimerView : Bool = false
var body: some View {
NavigationView {
ZStack {
Color("BackgroundColor").ignoresSafeArea(.all)
if tm.timerStyle == nil {
NoTimerView()
} else {
VStack(alignment : .center, spacing: 40){
Spacer()
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
Text("Focus Mode 🔥")
.font(.system(size: 30, weight: .bold, design: .rounded))
.fontWeight(.bold)
case .short:
Text("Break Mode ☕️")
.font(.system(size: 30, weight: .bold, design: .rounded))
.fontWeight(.bold)
case .long:
Text("Long Break Mode 🌕")
.font(.system(size: 30, weight: .bold, design: .rounded))
.fontWeight(.bold)//
}
}
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
ProgressView(progress: tm.progress, gradientColors: focusColors, time: formatTime())
.padding()
.onReceive(tm.timer) { _ in
if tm.timerMode == .start {
if tm.elapsedFocusTime != 0 {
tm.trackFocusProgress()
} else {
if tm.isAuto {
tm.timerStyle = .short
tm.progress = 0
tm.elapsedShortTime = tm.totalShortTime
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
} else {
tm.timerMode = .normal
tm.timerStyle = .short
tm.isStarted = false
tm.progress = 0
tm.elapsedShortTime = tm.totalShortTime
audioPlayer1?.stop()
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
}
}
}
}
case .short:
ProgressView(progress: tm.progress, gradientColors: breakColors, time: formatTime())
.padding()
.onReceive(tm.timer) { _ in
if tm.timerMode == .start {
if tm.elapsedShortTime != 0 {
tm.trackFocusProgress()
} else {
if tm.isAuto {
if tm.isSkipMode {
tm.timerStyle = .focus
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
} else {
tm.timerStyle = .long
tm.progress = 0
tm.elapsedLongBreakTime = tm.totalLongBreakTime
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
}
} else {
if tm.isSkipMode {
tm.timerStyle = .focus
tm.timerMode = .normal
tm.timerStyle = .focus
tm.isStarted = false
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
audioPlayer1?.stop()
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
} else {
tm.timerMode = .normal
tm.timerStyle = .long
tm.isStarted = false
tm.progress = 0
tm.elapsedLongBreakTime = tm.totalLongBreakTime
audioPlayer1?.stop()
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
}
}
}
}
}
case .long:
ProgressView(progress: tm.progress, gradientColors: longBreakColors, time: formatTime())
.padding()
.onReceive(tm.timer) { _ in
if tm.timerMode == .start {
if tm.elapsedLongBreakTime != 0 {
tm.trackFocusProgress()
} else {
if tm.isAuto {
tm.timerStyle = .focus
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
} else {
tm.timerMode = .normal
tm.timerStyle = .focus
tm.isStarted = false
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
audioPlayer1?.stop()
if tm.isOnSound {
playSound(sound: "chimeup", type: "mp3")
}
}
}
}
}
}
}
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
Text("Let's concentrate on your task!")
.font(.headline)
.multilineTextAlignment(.center)
case .short:
Text("Well done, Have a short break!")
.font(.headline)
.multilineTextAlignment(.center)
case .long:
Text("It's so long journey, take care yourself.")
.font(.headline)
.multilineTextAlignment(.center)
}
}
HStack {
Button(action: {
switch tm.timerMode {
case .normal:
tm.timerMode = .start
tm.isStarted.toggle()
tm.backBroundMusic()
case .start:
audioPlayer1?.stop()
tm.timerMode = .normal
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
case .short:
tm.progress = 0
tm.elapsedShortTime = tm.totalShortTime
case .long:
tm.progress = 0
tm.elapsedLongBreakTime = tm.totalLongBreakTime
}
}
tm.isStarted.toggle()
case .pause:
tm.isStarted.toggle()
tm.isPaused.toggle()
tm.timerMode = .normal
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
case .short:
tm.progress = 0
tm.elapsedShortTime = tm.totalShortTime
case .long:
tm.progress = 0
tm.elapsedLongBreakTime = tm.totalLongBreakTime
}
}
case .stop:
tm.timerMode = .normal
}
}, label: {
Image(systemName: tm.isStarted ? "square.fill":"play.fill")
.frame(width : 60, height : 60)
.background(tm.isStarted ? .red : .green)
.foregroundColor(.white)
.font(.title)
.cornerRadius(10)
.shadow(color: .gray.opacity(0.5), radius: 1, x: 1, y: 1)
})
.disabled(tm.timerStyle == nil)
.padding()
Button(action: {
switch tm.timerMode {
case .normal:
return
case .start:
audioPlayer1?.stop()
tm.timerMode = .pause
tm.isPaused.toggle()
case .pause:
tm.backBroundMusic()
tm.timerMode = .start
tm.isPaused.toggle()
case .stop:
return
}
}, label: {
Image(systemName: tm.timerMode == .pause
? "play.fill" : "pause.fill")
.frame(width : 60, height : 60)
.background(tm.timerMode == .normal ? .gray : .yellow)
.foregroundColor(.white)
.font(.title)
.cornerRadius(10)
.shadow(color: .gray.opacity(0.5), radius: 1, x: 1, y: 1)
})
.disabled(tm.timerStyle == nil)
.padding()
Button(action: {
audioPlayer1?.stop()
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
tm.timerMode = .normal
tm.timerStyle = .short
tm.isStarted = false
tm.progress = 0
tm.elapsedShortTime = tm.totalShortTime
case .short:
if tm.isSkipMode {
tm.timerMode = .normal
tm.timerStyle = .focus
tm.isStarted = false
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
} else {
tm.timerMode = .normal
tm.timerStyle = .long
tm.isStarted = false
tm.progress = 0
tm.elapsedLongBreakTime = tm.totalLongBreakTime
}
case .long:
tm.timerMode = .normal
tm.timerStyle = .focus
tm.isStarted = false
tm.progress = 0
tm.elapsedFocusTime = tm.totalFocusTime
}
}
}, label: {
Image(systemName: "forward.end.fill")
.frame(width : 60, height : 60)
.background(.blue)
.foregroundColor(.white)
.font(.title)
.cornerRadius(10)
.shadow(color: .gray.opacity(0.5), radius: 1, x: 1, y: 1)
})
.disabled(tm.timerStyle == nil)
.padding()
} // hst
Spacer()
}//vst
}
}//Zstack
.navigationTitle("PPO.MO ⏱")
.navigationBarTitleDisplayMode(.inline)
.navigationBarItems(trailing:
HStack{
if tm.isOnBackgroundSound {
Menu {
Button(action: {
switch tm.timerMode {
case .normal:
tm.backgroundNoise = .forest
case .start:
tm.backgroundNoise = .forest
tm.backBroundMusic()
case .pause:
audioPlayer1?.stop()
case .stop:
tm.backgroundNoise = .forest
}
}, label: {
Label(tm.backgroundNoise == .forest ? "✅ Forest" : "Forest", systemImage: "leaf")
})
Button(action: {
switch tm.timerMode {
case .normal:
tm.backgroundNoise = .river
case .start:
tm.backgroundNoise = .river
tm.backBroundMusic()
case .pause:
audioPlayer1?.stop()
case .stop:
tm.backgroundNoise = .river
}
}, label: {
Label(tm.backgroundNoise == .river ? "✅ River" : "River", systemImage: "drop.circle")
})
Button(action: {
switch tm.timerMode {
case .normal:
tm.backgroundNoise = .rain
case .start:
tm.backgroundNoise = .rain
tm.backBroundMusic()
case .pause:
audioPlayer1?.stop()
case .stop:
tm.backgroundNoise = .rain
}
}, label: {
Label(tm.backgroundNoise == .rain ? "✅ Rain" : "Rain", systemImage: "cloud.rain")
})
Button(action: {
switch tm.timerMode {
case .normal:
tm.backgroundNoise = .wave
case .start:
tm.backgroundNoise = .wave
tm.backBroundMusic()
case .pause:
audioPlayer1?.stop()
case .stop:
tm.backgroundNoise = .wave
}
}, label: {
Label(tm.backgroundNoise == .wave ? "✅ Wave" : "Wave", systemImage: "cloud.rain")
})
Button(action: {
tm.backgroundNoise = .turnOff
audioPlayer1?.stop()
}, label: {
Label(tm.backgroundNoise == .turnOff ? "✅ Turn off" : "Turn off", systemImage: "speaker.slash")
})
} label: {
Image(systemName: tm.backgroundNoise == .turnOff ? "speaker.slash.circle" : "speaker.circle")
}
}
NavigationLink(destination: {
AddTimerView()
}, label: {
Image(systemName: "plus")
})
.simultaneousGesture(TapGesture().onEnded({
tm.timerMode = .pause
audioPlayer1?.stop()
}))
})
}//nav
}
}
extension TimerView {
func formatTime() -> String {
if let timerStyle = tm.timerStyle {
switch timerStyle {
case .focus:
let minute = Int(tm.elapsedFocusTime) / 60 % 60
let second = Int(tm.elapsedFocusTime) % 60
return String(format: "%02i:%02i", minute, second)
case .short:
let minute = Int(tm.elapsedShortTime) / 60 % 60
let second = Int(tm.elapsedShortTime) % 60
return String(format: "%02i:%02i", minute, second)
case .long:
let minute = Int(tm.elapsedLongBreakTime) / 60 % 60
let second = Int(tm.elapsedLongBreakTime) % 60
return String(format: "%02i:%02i", minute, second)
}
}
return "00:00"
}
}
ANSWER
Answered 2022-Mar-17 at 13:36Put onReceive on some always-shown view, like
QUESTION
Generally, there are two rows for each payer, with one row representing a success count and another row representing a failure count.
I want to have the two rows return as one with both a success and a failure column.
But sometimes there is only one row, either a success or a failure but not both.
I've tried joining the source table on itself, a left and right join don't pick up either the missing success or the missing failure. A full join returns four rows for the medicare row which really scrogges things up.
...ANSWER
Answered 2022-Feb-18 at 00:29You are basically after a pivot, you can aggregate and use a condition case expression, untested but something like:
QUESTION
I'm getting error string index out of range when I getting simple text from post request and want to show data in array.
ANSWER
Answered 2022-Feb-13 at 09:27I believe the response is coming back in plain text and not a ready to use dictionary.
Try the following using json.loads:
QUESTION
I have this custom callback to log the reward in my custom vectorized environment, but the reward appears in console as always [0] and is not logged in tensorboard at all
...ANSWER
Answered 2021-Dec-25 at 01:10You need to add [0] as indexing,
so where you wrote self.logger.record('reward', self.training_env.get_attr('total_reward')) you just need to index with self.logger.record('reward', self.training_env.get_attr ('total_reward')[0])
QUESTION
I'm using drake for some model-free reinforcement learning and I noticed that Drake uses a non-fixed step integration when simulating an update. This makes sense for the sake of integrating multiple times over a smaller duration when the accelerations of a body is large, but in the case of using reinforcement learning this results in some significant compute overhead and slow rollouts. I was wondering if there is a principled way to allow the simulation environment to operate in a fixed timestep integration mode beyond the method that I'm currently using (code below). I'm using the PyDrake bindings, and PPO as the RL algorithm currently.
...ANSWER
Answered 2021-Oct-21 at 00:01On way to change the integrator that is used for continuous-time dynamics is to call ResetIntegratorFromFlags. For example, to use the RungeKutta2Integrator you would call:
QUESTION
I have a UI with a list of elements, 2 columns. The first columns shows the name of the item e.g. Manager, Operator and the list will grow The 2nd column is a colour picker element. You can choose a colour I am trying to find the colour picket element for a name e.g. for Operator I want to iterate over the elements and find the colour picker element for Operator From the HTML Code snippet below I want to locate the following line
...ANSWER
Answered 2021-Oct-10 at 15:40You can do this by using using the within() command
QUESTION
I am using Ray 1.3.0 (for RLlib) with a combination of SUMO version 1.9.2 for the simulation of a multi-agent scenario. I have configured RLlib to use a single PPO network that is commonly updated/used by all N agents. My evaluation settings look like this:
...ANSWER
Answered 2021-Jun-23 at 07:03Could it be that due to the multi-agent dynamics, your policy is chasing its tail? How many policies do you have? Are they competing/collaborating/neutral to each other? Note that multi-agent training can be very unstable and seeing these fluctuations is quite normal as the different policies get updated and then have to face different "env"-dynamics b/c of that (env=env+all other policies, which appear as part of the env as well).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PPO
You can use PPO like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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