thiagov / pacman-ai
A Monte Carlo Tree Search Agent used to control agents in a Pacman competition.
☆16Updated 10 years ago
Alternatives and similar repositories for pacman-ai
Users that are interested in pacman-ai are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.☆40Updated 6 years ago
- Monte Carlo tree search (MCTS) on traveling salesman problem (TSP)☆22Updated 6 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆72Updated 4 years ago
- ☆11Updated 4 years ago
- Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment☆50Updated 8 years ago
- a pacman AI with a reinforcement learning agent that utilizes value iteration, policy iteration, policy extraction, Q-learning.☆24Updated 12 years ago
- Tensorflow implementation of Deep Deterministic Policy Gradients☆19Updated 8 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- GYM based Reinforcement learning library that connects Ant colony optimization and Sarsa Lambda.☆9Updated 6 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 9 years ago
- Extensions of Deep Q Learning☆26Updated 6 years ago
- This repository is for Reinforcement Learning algorithms with Unity ML Agent☆108Updated 5 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- This is a deep Q-network (reinforcement learning) AI for Dota 2☆56Updated 8 years ago
- Half Field Offense in Robocup 2D Soccer☆233Updated 2 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆216Updated 5 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- OpenAI Gym Environment for 2048☆17Updated 2 years ago
- AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Maste…☆89Updated 7 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- A genetic algorithm I created in order find optimal solutions for the multiple knapsack problem☆12Updated 9 years ago
- Q-Learning applied to the classic Travelling Salesman Problem☆19Updated 8 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆38Updated 7 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Reinforce Learing, Q-Rounting, Shortest-Path☆101Updated 7 years ago
- Implementation of POMDP algorithms on the tiger example, as described in Littman, Cassandra and Kaelbling (1994).☆17Updated 7 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Deep Reinforcement Learning in Pac-man☆283Updated last year
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago