Robust policy search algorithms which train on model ensembles
Minimal and Clean Reinforcement Learning Examples
MATE: the Multi-Agent Tracking Environment.
Implementations of Reinforcement Learning and Planning algorithms
RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementati...
PyTorch implementations of deep reinforcement learning algorithms and environments
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...
PyGame-based quadcopter simulator & Reinforcement Learning Project
The next generation deep reinforcement learning tookit
Collection of reinforcement learning algorithms
Examples of published reinforcement learning algorithms in recent literature implemented in Tenso...
Some basic examples of playing with RL
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Re...
Reinforcement Learning in PyTorch