ICTS:32467

Reinforcement Learning Bootcamp (Online)

(2025). Reinforcement Learning Bootcamp (Online). SciVideos. https://scivideos.org/icts-tifr/32467

Reinforcement Learning Bootcamp (Online). SciVideos, Aug. 06, 2025, https://scivideos.org/icts-tifr/32467 

          @misc{ scivideos_ICTS:32467,
            doi = {},
            url = {https://scivideos.org/icts-tifr/32467},
            author = {},
            keywords = {},
            language = {en},
            title = {Reinforcement Learning Bootcamp (Online)},
            publisher = {},
            year = {2025},
            month = {aug},
            note = {ICTS:32467 see, \url{https://scivideos.org/icts-tifr/32467}}
          }
Gaurav Mahajan
Talk numberICTS:32467
Source RepositoryICTS-TIFR

Abstract

The course will cover the basics of reinforcement learning theory. We will start by implementing simple gradient-based algorithms in PyTorch and using them to solve standard control problems like CartPole and the Atari 2600 game Pong. Along the way, we will explore how to optimize both the sample complexity (the number of interactions with the environment) and the computational complexity (GPU hours) needed to learn an optimal policy.

Lecture notes, and setup instructions - https://gomahajan.github.io/icts/rlbootcamp.html