Deep Reinforcement Learning Framework done with PyTorch
MIT License
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
[ICCV 2021] Official implementation of "The Surprising Effectiveness of Visual Odometry Technique...
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Fun...
OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architectu...
Google Colaboratory Notebooks and Repositories (by @firmai)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...
Set of robotic environments based on PyBullet physics engine and gymnasium.
PyTorch implementations of deep reinforcement learning algorithms and environments
Isaac Gym Reinforcement Learning Environments
RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementati...
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
PFRL: a PyTorch-based deep reinforcement learning library
ChainerRL is a deep reinforcement learning library built on top of Chainer.
The Learnable Typewriter: A Generative Approach to Text Line Analysis