Alternatives and similar repositories for Q-learning-gridworld:

Users that are interested in Q-learning-gridworld are comparing it to the libraries listed below

• lcalem / reproduction-soft-qlearning-mutual-information
  Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
  ☆10Updated 6 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆49Updated 4 years ago
• mcmachado / options
  ☆43Updated 7 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆48Updated 2 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆28Updated 8 years ago
• mfornet / hindsight-experience-replay
  Implementation of HER algorithm in the bit-flipping environment.
  ☆17Updated 6 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆59Updated 6 years ago
• armahmood / totd-rndmdp-experiments
  Random MDP experiments on true online TD from a forthcoming work by van Seijen et al. (2015)
  ☆8Updated 8 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 9 years ago
• cbfinn / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆29Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• iosband / TabulaRL
  ☆65Updated 10 months ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• lmb-freiburg / td-or-not-td
  Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…
  ☆12Updated 6 years ago
• HankyuJang / Non-Stationary-Reinforcement-Learning-
  ☆8Updated 7 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 6 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 6 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆26Updated 5 years ago
• Ardavans / DSR
  ☆98Updated 8 years ago
• ScottJordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆27Updated 3 years ago
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 7 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago