Topic: self-play Goto Github
Some thing interesting about self-play
Some thing interesting about self-play
self-play,A gym environment to train chatbots.
User: af1tang
self-play,Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
User: ankursharma-iitd
self-play,A multi agent re-enforcement learning environment for many on many bot fights between space ships
User: aspk
self-play,Emulator and AI of Shadowverse
User: autumncrocus
self-play,Simple reinforcement learning framework for selfplay experiments
User: avoroshilov
self-play,Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
User: backpropper
self-play,AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
User: blanyal
self-play,A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available
User: cestpasphoto
self-play,A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
User: chuacheowhuan
Home Page: https://chuacheowhuan.github.io
self-play,My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].
User: chuacheowhuan
self-play,Code base for Social Robot Tree Search (SoRTS).
Organization: cmubig
self-play,Backgammon OpenAI Gym
User: dellalibera
self-play,TD-Gammon implementation
User: dellalibera
self-play,Recreating Bill Seiler's 1985 version of Space War and training RL agents with Self-Play
User: e-dong
Home Page: https://e-dong.itch.io/spacewar
self-play,Using an DQN agent trained on Tic-Tac-Toe and Connect Four as a base for an dynamically balanced opponent. (Student Project)
User: egrund
self-play,A AlphaZero implementation for Othello 10x10 / Reversi using C++
User: es1chubjyan9
self-play,Train a neural network to play 2048
User: fqjin
self-play,A Smart Agent using reinforcement learning with CNN + MCTS to learn to play Othello/Reversi
User: galtvam
self-play,A Massively Parallel Large Scale Self-Play Framework
Organization: inspirai
self-play,Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)
User: jackory
self-play,A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
User: jianzhnie
self-play,Multi-agent Self-Play Reinforcement Learning Library
User: kajune
self-play,AlphaZero for ultimate tic-tac-toe.
User: keeeal
self-play,Temporal difference learning for ultimate tic-tac-toe.
User: keeeal
self-play,Using Value Iteration and Policy Iteration to discover the optimal solution for the strategic dice game PIG. Ultimately interested in whether the optimal solution can be reached through self-play alone.
User: lukasmyth96
self-play,Self playing, talking baseball game.
User: maniator
Home Page: https://blipit.net
self-play,Train a neural network to PvP in Old School RuneScape using reinforcement learning.
User: naton1
self-play,Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
User: navreeetkaur
self-play,A reinforcement learning agent trained without prior human knowledge
User: neoyung
self-play,A simple implementation of an AI game player inspired by AlphaZero
User: noahwillcrow
self-play,Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
User: novoselov-ab
self-play,Implementation of TD Gammon algorithm by Gerald Tesauro at IBM's Thomas J. Watson Research Center in Python.
User: oneupwallstreet
self-play,OpenDILab Decision AI Engine
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
self-play,An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.
Organization: opendilab
self-play,[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Organization: opendilab
Home Page: https://huggingface.co/spaces/OpenDILabCommunity/ZeroPal
self-play,An implementation of the AlphaZero algorithm for adversarial games to be used with the machine learning framework of your choice
User: peldszus
Home Page: https://github.com/peldszus/alpha-zero-general-lib
self-play,Donald Michie's MENACE approach to an unbeatable self-learning Tic-Tac-Toe AI game
User: riturajkaushik
self-play,A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.
User: sebastian-schuchmann
self-play,The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141
User: seungeunrho
self-play,This is the implementation of paper Model Free Episodic Control
User: shibihe
self-play,Using self-play, MCTS, and a deep neural network to create a hearthstone ai player
User: sirmammingtonham
self-play,A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
User: suragnair
self-play,基于PyTorch的分布式强化学习框架
Organization: tartrl
Home Page: https://tartrl-docs.readthedocs.io/zh/latest/
self-play,An asynchronous implementation of AlphaZero, a self-play reinforcement learning algorithm.
User: timvvvht
self-play,AI agents for the bavarian card game Schafkopf trained with reinforcement learning
User: tobiasemrich
self-play,The official implementation of Self-Play Fine-Tuning (SPIN)
User: uclaml
Home Page: https://uclaml.github.io/SPIN/
self-play,A chess program based on Deep Mind's AlphaZero.
User: xlekunberri
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