Monte Carlo Tree Search with Progressive Bias and Decaying Reward for the Pommerman (Java version) game.
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Updated
Nov 7, 2021 - Java
Monte Carlo Tree Search with Progressive Bias and Decaying Reward for the Pommerman (Java version) game.
Pommerman implementation with Imitation Learning, Actor-Critic Networks, Monte-Carlo-Tree-Search (MCTS), Action-Filter and Jitter-Correction
My Docker agent submission to the NeurIPS 2019 Pommerman challenge.
A place to experiment with various reinforcement learning approaches in the Pommerman environment.
Unorganized code I wrote for training my Pommerman agents.
A Pommerman agent which simulates agents' ammo, kick ability, and other information
University courserwork to implement and improve AI techniques used in games (Bomberman). Techniques include Monte Carlo Tree Search, Evolutionary computation etc.,
Some implementations of agents in Pommerman
Pommerman - A Bomberman reinforcement learning challenge in PyTorch 💣
Learning-based MCTS in the Pommerman Environment
A reinforcement learning project on micro in StarCraft II
Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
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