quantumiracle / Cascading-Decision-TreeLinks
Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
☆38Updated 2 years ago
Alternatives and similar repositories for Cascading-Decision-Tree
Users that are interested in Cascading-Decision-Tree are comparing it to the libraries listed below
Sorting:
- Public code for implementation and experiments with differentiable decision trees.☆28Updated 8 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆36Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆52Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated 11 months ago
- Experiments with transformer based RL algorithms☆22Updated 5 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆21Updated 5 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆95Updated 2 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated last month
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆41Updated 3 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Deep Reinforcement Learning for Nash Equilibria☆42Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago