jbradberry / mcts

Related projects: ⓘ

• hildensia / mcts
  An implementation of Monte Carlo Tree Search in python
  ☆159Updated 3 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• brilee / python_uct
  Demo of UCT (MCTS) in Python / Numpy
  ☆81Updated last year
• jbradberry / ultimate_tictactoe
  An implementation of 9x9 Tic Tac Toe
  ☆77Updated 4 years ago
• Damcy / prioritized-experience-replay
  implement of prioritized experience replay
  ☆156Updated 6 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆91Updated 7 years ago
• NeuroCSUT / DeepMind-Atari-Deep-Q-Learner-2Player
  Multiagent Cooperation and Competition with Deep Reinforcement Learning
  ☆123Updated 8 years ago
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆160Updated 6 years ago
• Zeta36 / connect4-alpha-zero
  Connect4 reinforcement learning by AlphaGo Zero methods.
  ☆114Updated 3 years ago
• alexis-jacq / Pytorch-DPPO
  Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
  ☆180Updated 6 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 6 years ago
• hhexiy / opponent
  Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
  ☆71Updated 8 years ago
• EdenMacdonald / h-DQN
  ☆117Updated this week
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆265Updated 4 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆162Updated 7 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆219Updated 6 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• avivt / VIN
  Value Iteration Networks
  ☆287Updated 7 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆179Updated 6 years ago
• pekaalto / sc2atari
  Convert sc2 environment to gym-atari and play some mini-games
  ☆21Updated 6 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆159Updated 4 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆121Updated 7 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆154Updated 5 years ago
• PetterS / monte-carlo-tree-search
  Monte Carlo Tree Search with UCT with a couple of example games.
  ☆151Updated 3 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆209Updated 6 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆297Updated 5 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆150Updated last year
• liampetti / DDPG
  Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…
  ☆65Updated 7 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆165Updated 6 years ago
• wojzaremba / trpo
  ☆99Updated 8 years ago