Solutions of Reinforcement Learning 2nd Edition
Solutions of Reinforcement Learning 2nd Edition
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
A benchmark for concept generalization
ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
BasicRL: easy and fundamental codes for deep reinforcement learning
BasicRL: easy and fundamental codes for deep reinforcement learning
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Reinforcement Learning Based Agent for Physical Simulation of Solid Body Using gym + pybullet API
Reinforcement Learning Based Agent for Physical Simulation of Solid Body Using gym + pybullet API
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Reinforcement learning framework and algorithms implemented in PyTorch
Reinforcement learning framework and algorithms implemented in PyTorch
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
A scalable template for PyTorch projects, with examples in Image Segmentation, GANs and Reinforcement Learning
A scalable template for PyTorch projects, with examples in Image Segmentation, GANs and Reinforcement Learning
ilpyt: imitation learning library with modular, baseline implementations in Pytorch
ilpyt: imitation learning library with modular, baseline implementations in Pytorch
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
A modular platform built to make AI experimentation accessible and fun
piSTAR Lab is a modular deep reinforcement learning platform built to make AI experimentation accessible and fun.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
OpenAI Baselines is a set of high-quality implementations of reinforcement learning algorithms.
An open source end-to-end platform for applied reinforcement learning developed and used at Facebook
An open source end-to-end platform for applied reinforcement learning developed and used at Facebook
A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
An efficient framework for reinforcement learning
Make sure your Python environment is activated before installing following requirements.