⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jul 9, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
Google Research
autoupdate paper list
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Official code for TLDR: Temporal Distance-aware Representation for Unsupervised Goal-Conditioned RL
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
Explores reinforcement learning and its core algorithms through a PyBoy-emulated instance of Pokémon Blue.
Machine learning library and Distributed training
Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.
The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
HOPES: HVAC optimization with Off-Policy Evaluation and Selection
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Massively Parallel Deep Reinforcement Learning. 🔥
A high-performance distributed training framework for Reinforcement Learning
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Train and pit two models against each other on PvP retro games such as NHL94, Mortal Kombat or WWF Wrestlemania: The Arcade Game
Tinkering on neural networks for battery modeling and agent-based operating adventures
Deep Reinforcement Learning in C#
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