kevin-hanselman / grid-world-rlLinks
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
☆29Updated last year
Alternatives and similar repositories for grid-world-rl
Users that are interested in grid-world-rl are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of various reinforcement learning algorithms☆18Updated 7 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 7 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem☆23Updated 6 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆32Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆51Updated this week
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Great resources for learning optimal control☆17Updated 5 years ago
- Minimal and Clean Reinforcement Learning Examples in PyTorch☆42Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Bayesian Inverse Reinforcement Learning with simple environments☆20Updated 3 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆67Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- ☆54Updated 7 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago