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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
653 results
Reinforcement learning with unsupervised auxiliary tasks
TensorFlow2 Reinforcement Learning
The SSBM "Phillip" AI.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Reversi reinforcement learning by AlphaGo Zero methods.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Scalable, event-driven, deep-learning-friendly backtesting library
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
TensorFlow implementation of Deep Reinforcement Learning papers
Chess reinforcement learning by AlphaGo Zero methods.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Tensorforce: a TensorFlow library for applied reinforcement learning
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Deep Reinforcement Learning for Keras.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An environment to high-frequency trading agents under reinforcement learning
24,523 repositories in the index in total.
