erikdelange / Reinforcement-Learning-MazeLinks
Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.
☆104Updated 3 years ago
Alternatives and similar repositories for Reinforcement-Learning-Maze
Users that are interested in Reinforcement-Learning-Maze are comparing it to the libraries listed below
Sorting:
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 5 months ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆419Updated 4 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆86Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- ☆184Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆144Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆219Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆242Updated 9 months ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆142Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆139Updated last year
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Gridworld for MARL experiments☆143Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆74Updated 6 years ago
- Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.☆37Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆375Updated 2 years ago
- ☆40Updated 2 months ago