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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

carla-rl

Reinforcement Learning Agents Trained in the CARLA Simulator

colab_archive

cs231n

CS231n 번역 프로젝트

d4rl

A benchmark for offline reinforcement learning.

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

deep-rl

Collection of Deep Reinforcement Learning algorithms

furniture

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

gym-carla

An OpenAI gym wrapper for CARLA simulator

highway-env

A minimalist environment for decision-making in autonomous driving

homework

Assignments for CS294-112.

inverse_rl

leavenotrace

Leave No Trace is an algorithm for safe reinforcement learning.

overcoming-exploration-from-demos

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

rlkit

Collection of reinforcement learning algorithms

rlpyt

Reinforcement Learning in PyTorch

variational_discriminator_bottleneck

Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)