Stars
Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Efficient Exploration via State Marginal Matching (2019)
Gated Path Planning Networks (ICML 2018)
Weakly-Supervised RL for Controllable Behavior (NeurIPS 2020)
hanabi_learning_environment is a research platform for Hanabi experiments.
A collection of video resources for machine learning
ICML 2018 Self-Imitation Learning
Collection of reinforcement learning algorithms
Implementation of TRPO and related algorithms
A continuous action space version of A3C LSTM in pytorch plus A3G design
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
A modern and intuitive terminal-based text editor
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Publicly releasable baselines for the Retro contest
An End-To-End, Lightweight and Flexible Platform for Game Research
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Variational Auto-encoder with Non-parametric Bayesian Prior
This repo allocate DAPs code of our ECCV 2016 publication
SST: Single-Stream Temporal Action Proposal
Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
A starter agent that can solve a number of universe environments.
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presente…
Reinforcement Learning environments based on the 1993 game Doom
The Arcade Learning Environment (ALE) -- a platform for AI research.