Rocket-recycling with Reinforcement Learning
Rocket-recycling with Reinforcement Learning
Interface fceux with python and run reinforcement learning
Interface fceux with python and run reinforcement learning
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
The Unsupervised Reinforcement Learning Benchmark (URLB)
The Unsupervised Reinforcement Learning Benchmark (URLB)
Avalanche RL: an End-to-End Library for Continual Reinforcement Learning
Avalanche RL: an End-to-End Library for Continual Reinforcement Learning
League of Legends Reinforcement Learning Environment (LoLRLE) multiple training scenarios using PPO
League of Legends Reinforcement Learning Environment (LoLRLE) multiple training scenarios using PPO
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning
Minimalistic Gridworld Environment (MiniGrid)
Minimalistic Gridworld Environment (MiniGrid)
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.