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alphas

cartpole_solver

Deep Q-Network (DQN) for CartPole game from OpenAI gym

control

A repository for control benchmarking code

cql

Code for conservative Q-learning

d3pg

doom-py

ViZDoom Python wrapper

frameglimpses

gac

Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"

homework

Imitation Learning Homework 1

leetcode

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

models

Models built with TensorFlow

modular_rl

Implementation of TRPO and related algorithms

mopo

Code for MOPO: Model-based Offline Policy Optimization

multiagent-competition

Repository for competitive multi-agent environments

opiq

Code for Optimistic Exploration even with a Pessimistic Initialisation

osim-rl

Reinforcement learning environments with musculoskeletal models

pydmps

recipes

reflections

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

spree_abc

spree support multi site

tensorpack

Neural Network Toolbox on TensorFlow

test_git

tutorial

zhc.github.io

Build a Jekyll blog in minutes, without touching the command line.