quantumiracle / Cascading-Decision-Tree
Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
☆38Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Cascading-Decision-Tree
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆19Updated 5 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆34Updated 2 years ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆15Updated 11 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆53Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- Public code for implementation and experiments with differentiable decision trees.☆25Updated last month
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆123Updated 6 months ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆50Updated 3 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆30Updated last year
- The implement of all kinds of dqn reinforcement learning with Pytorch☆90Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 8 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆81Updated last year
- This is the official implementation of ERL-Re2.☆59Updated 5 months ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆42Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆65Updated last year
- Implementation for mSAC methods in PyTorch☆37Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆170Updated last year
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆69Updated last year
- A collection of offline reinforcement learning algorithms.