PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Clean PyTorch implementations of imitation and reward learning algorithms

A selection of state-of-the-art research materials on trajectory prediction

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

A web based platform for collecting human actions in reinforcement learning environments

PyTorch implementation of GAIL and AIRL based on PPO.

Imitation Learning Algorithms Tutorial (Python) from scratch