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deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

dqn

Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.

dqn-pytorch

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

mydiscor

prioritized-sequence-experience-replay

Prioritized Sequence Experience Replay

prioritized_experience_replay

Prioritized Experience Replay implementation with proportional prioritization

rlmdp-teae

The model called Temporal difference Error-based Adaptive Exploration (TEAE) for solving MDP. The model is based on the reinforcement learning method for MDP (RLMDP) and addresses the limitations of traditional MDP solving methods.

rlsum

https://doi.org/10.1016/j.physa.2023.128699

simple_dqn

Simple deep Q-learning agent.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

tensorflow

An Open Source Machine Learning Framework for Everyone

tqdm

A Fast, Extensible Progress Bar for Python and CLI