ludobouan / Q-learning-gridworldLinks
Reinforcement learning on gridworld with Q-learning
☆10Updated 8 years ago
Alternatives and similar repositories for Q-learning-gridworld
Users that are interested in Q-learning-gridworld are comparing it to the libraries listed below
Sorting:
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆10Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆30Updated 7 years ago
- ☆43Updated 8 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Updated 8 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Code for human intervention reinforcement learning☆34Updated 7 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Highly Modular and Scalable Reinforcement Learning☆117Updated 5 years ago
- ☆35Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆28Updated 4 years ago
- ☆37Updated 9 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago