PatrickKorus / mcts-general
General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
☆39Updated 4 years ago
Alternatives and similar repositories for mcts-general:
Users that are interested in mcts-general are comparing it to the libraries listed below
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated 3 weeks ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- AlphaZero for continuous control tasks☆23Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆87Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆98Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆105Updated 4 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆64Updated last year
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆36Updated 4 years ago
- Soft Actor-Critic with advanced features☆48Updated this week
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆48Updated 2 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆28Updated 2 years ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆38Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆75Updated last year
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆30Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated 2 weeks ago
- Simple, readable, yet full-featured implementation of PPO in Pytorch☆48Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆174Updated 8 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆138Updated 11 months ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago