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A continuous action space version of A3C LSTM in pytorch plus A3G design
Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Atari - Deep Reinforcement Learning algorithms in TensorFlow
BabyAI platform. A testbed for training agents to understand and execute language commands.
Train self-modifying neural networks with neuromodulated plasticity
Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 2021.
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
Contrastive Learning of Structured World Models
CLIPort: What and Where Pathways for Robotic Manipulation
Assignments for CMU 10703: Deep Reinforcement Learning and Control
github!
Deep reinforcement learning-basedskill transfer and composition method
Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499
Automatically Composing Representation Transformations as a Means for Generalization
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Solutions and thoughts of Data and Algorithms
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
PyTorch Implementation for Deep Metric Learning Pipelines
PyTorch implementations of deep reinforcement learning algorithms and environments
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Implementation of recent Deep Learning papers
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
[arXiv'23] Official implementation of the paper "Diffusion Reward: Learning Rewards via Conditional Video Diffusion"
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.