typoverflow / UtilsRLLinks
A python module designed for agile RL algorithm developing.
☆26Updated last year
Alternatives and similar repositories for UtilsRL
Users that are interested in UtilsRL are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 3 months ago
- Re-implementations of SOTA RL algorithms.☆135Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 8 months ago
- A beamer template for LAMDA lab at NJU☆17Updated 5 years ago
- ☆30Updated 3 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆24Updated last year
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- ☆10Updated 5 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆21Updated 7 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆16Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆77Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆32Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆52Updated last year
- ☆30Updated 2 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆25Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- This is a repository for Hidden-utility Self-Play.☆26Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated 11 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 9 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆181Updated 3 years ago
- ☆17Updated 10 months ago
- A lightweight reimplementation of Adversarially Trained Actor Critic☆18Updated 2 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago