kevin-hanselman / grid-world-rl
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:
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆50Updated 2 weeks ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Co-training for Policy Learning☆13Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller☆9Updated 7 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- PyTorch implementation of various reinforcement learning algorithms☆18Updated 7 years ago
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆31Updated 5 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆67Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- RL CIRL Research☆13Updated 2 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated last year
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago