This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
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Updated
Jan 21, 2025 - Python
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones
Reinforcement Learning for Optimal inventory policy
Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
ReLAx - Reinforcement Learning Applications Library
Open AI Gym version of Berkeley AI Pacman with images as states
Learning the topic Machine learning, with sample code.
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Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
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ROS package providing a gym-like interface for the Sawyer Robot at U-AIM Lab
Sample efficient learning using expectation maximization
Reinforcement Learning Snake Game
Implementation of a Civilization-like game used to study country growth in a competitive environment while accounting for environmental impact, with a Reinforcement Learning approach.
Simple Reinforcement Learning using Q tables. Train an agent to move to destination
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