PatrickKorus / mcts-generalLinks
General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
☆40Updated 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
Sorting:
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Soft Actor-Critic with advanced features☆51Updated this week
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 6 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆121Updated 4 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated 4 months ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆54Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆191Updated last year
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆185Updated last year
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆63Updated 2 years ago