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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bco

behavior cloning from observation

bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

bgrl

Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization

bootstrap-dqn

bpl

Bayesian Program Learning model for one-shot learning

breaking_defensive_distillation

bridge-building

Simple 2D gridworld for bridge-building task

calm

Unsupervised ML algorithm for real-time prediction and recognition

ccu_signup

cem-rl

Combining Evolutionary Algorithms and deep RL in various ways

cg2016

cgv_character_scanner

Undergraduate proejct of NTHU CGV Lab

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

citylearn

Official reinforcement learning environment for demand response and load shaping

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cleverhans

A library for benchmarking vulnerability to adversarial examples

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

codebattlegdx

commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

compiler2016

computergraphics

Source code for practice

corl-adversarial-active-exploration

The official implementation of "Adversarial Active Exploration Strategy for Inverse Dynamics Model Learning" (WIP)

cql

Code for conservative Q-learning

curiosity-a2c

Implementation of Curiosity-driven A2C

curiosity_baselines

An open source reinforcement learning codebase with a variety of intrinsic curiosity methods implemented in PyTorch on top of rlpyt.

cv-homework2

cv-homework3