SLM Lab
v4.2.3
v4.2.3
  • SLM Lab
  • 🖥Setup
    • Installation
    • Quick Start
  • 🚀Using SLM Lab
    • Lab Command
    • Lab Organization
    • Train: REINFORCE CartPole
    • Resume and Enjoy: REINFORCE CartPole
    • Agent Spec: DDQN+PER on LunarLander
    • Env Spec: A2C on Pong
    • GPU Usage: PPO on Pong
    • Parallelizing Training: Async SAC on Humanoid
    • Experiment and Search Spec: PPO on Breakout
    • Run Benchmark: A2C on Atari Games
    • Meta Spec: High Level Specifications
    • Post-Hoc Analysis
    • TensorBoard: Visualizing Models and Actions
    • Using SLM Lab In Your Project
  • 📈Analyzing Results
    • Data Locations
    • Graphs and Data
    • Performance Metrics
  • 🥇Benchmark Results
    • Public Benchmark Data
    • Discrete Environment Benchmark
    • Continuous Environment Benchmark
    • Atari Environment Benchmark
    • RL GIFs
  • 🔧Development
    • Modular Design
      • Algorithm Taxonomy
      • Class Inheritance: A2C > PPO
    • Algorithm
      • DQN
      • REINFORCE
      • Actor Critic
    • Memory
      • Replay
      • PrioritizedReplay
      • OnPolicyReplay
      • OnPolicyBatchReplay
    • Net
      • MLP
      • CNN
      • RNN
    • Profiling SLM Lab
  • 📖Publications and Talks
    • Book: Foundations of Deep Reinforcement Learning
    • Talks and Presentations
  • 🤓Resources
    • Deep RL Resources
    • Contributing
    • Motivation
    • Help
    • Contact
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  1. 📖Publications and Talks

Talks and Presentations

PreviousBook: Foundations of Deep Reinforcement LearningNextDeep RL Resources

Last updated 3 years ago

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Timeline

SLM Lab has been used by the authors for giving talks and tutorials on deep RL at a number of meetup groups. All these previous talks along with their free resources are listed below:

  • 5 Nov 2016, NYC Data Wranglers @ Eligible Inc, NYC:

    • video:

    • video:

  • 4 April 2017, NYC Data Wranglers @ SquareSpace, NYC:

  • 18 May 2017, NYC Data Wranglers @ PaperSpace, NYC:

  • 19 Dec 2017, DLSG @ Untapt, NYC:

  • 17 Feb 2018, DLSG @ Untapt, NYC:

  • 15 March 2018, PyData SLO @ Cal Poly, San Louis Obispo:

  • 2 Oct 2018, @ PyTorch Developer Conference, San Francisco:

  • 10 Oct 2019, @ PyTorch Developer Conference, San Francisco:

  • 22 Feb 2022, SuperDataScience podcast

SLM Lab was previously "OpenAI Lab", which has no affiliation to OpenAI.

🗓️
Reinforcement Learning
Reinforcement Learning - Eligible HQ, Part 1 - YouTube
Reinforcement Learning, Part 2 - YouTube
Introducing OpenAI Lab for Reinforcement Learning | Meetup
ML at Work #1: Adversarial Autoencoders, Insight Data Science, and more! | Meetup
“OpenAI Lab” for Deep Reinforcement Learning Experimentation
Deep Reinforcement Learning Experiments Run Simultaneously Across OpenAI and Unity Environments
Deep RL in PyTorch
Poster Presentation
Poster Presentation
episode 551 Deep Reinforcement Learning - with Wah Loon Keng