henrycharlesworth / big2_PPOalgorithmLinks
Application of proximal policy optimization algorithm to the card game Big 2 using Tensorflow
☆82Updated 2 years ago
Alternatives and similar repositories for big2_PPOalgorithm
Users that are interested in big2_PPOalgorithm are comparing it to the libraries listed below
Sorting:
- Counterfactual regret minimization algorithm for Kuhn poker☆178Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- C51-DDQN in Keras☆126Updated 8 years ago
- Source code for OpenAI Retro Contest for Sonic the Hedgehog☆31Updated 7 years ago
- ☆69Updated 7 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆80Updated 6 years ago
- This is the code for "OpenAI Five vs DOTA 2 Explained" By Siraj Raval on Youtube☆167Updated 7 years ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆166Updated 6 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- Fictitious Self-play & Reinforcement Learning☆18Updated 7 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆193Updated last year
- RainBow, Tensorflow☆49Updated 7 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆88Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 6 years ago
- A student implementation of Alpha Go Zero☆282Updated 7 years ago
- ☆66Updated 4 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆119Updated last year
- A Tetris environment to train machine learning agents☆73Updated 2 years ago
- Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Actor-critic with experience replay☆256Updated 3 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆142Updated 6 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)☆138Updated 7 years ago
- An RL agent for the Google Football environment☆96Updated 4 years ago