rail-berkeley/rlkit
quality grade C, 51 out of 100Collection of reinforcement learning algorithms
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
Collection of reinforcement learning algorithms
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Playing Pokemon Red with Reinforcement Learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
TensorFlow Reinforcement Learning
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
中文整理的强化学习资料(Reinforcement Learning)
A reinforcement learning package for Julia
Deep Reinforcement Learning
A list of recent papers regarding deep reinforcement learning
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Reinforcement learning resources curated
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Train your Agent model via our easy and efficient framework
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
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