Clean single-file implementation of offline RL algorithms in JAX
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Updated
Dec 24, 2024 - Python
Clean single-file implementation of offline RL algorithms in JAX
In this repository, we explore the application of Transformer-based Reinforcement Learning approaches to solve complex real-world energy management problems using the CityLearn environment (Challenge 2022 and 2023).
Training a stock exchange agent with Reinforcement Learning algorithms and Decision Transformer.
Master Thesis Project
Survey on RL via. Sequence Modeling using Decision Transformer
A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit
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