Highlights
- Pro
Stars
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Paper list for equivariant neural network
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Python library for Reinforcement Learning.
RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
code + contents of my website, and programming life
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Introducing myself to deep reinforcement learning
Structural implementation of RL key algorithms
georgesung / TD3
Forked from sfujim/TD3Benchmarking TD3 and DDPG on PyBullet
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
A list of NLP(Natural Language Processing) tutorials
Python Multi-Agent Reinforcement Learning framework
Reinforcement learning algorithms for MuJoCo tasks
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
Simple and easily configurable grid world environments for reinforcement learning
Examples in "Spinning Up in Deep RL" atop PyTorch.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
ofirnachum / models
Forked from tensorflow/modelsModels built with TensorFlow
A locomotion framework, with mujoco as physics backend
Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.