typoverflow / UtilsRL
A python module designed for agile RL algorithm developing.
☆26Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for UtilsRL
- ☆11Updated 6 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆22Updated 3 weeks ago
- ☆10Updated 4 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆22Updated last month
- A beamer template for LAMDA lab at NJU☆14Updated 4 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆22Updated 10 months ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆15Updated 7 months ago
- Benchmarked implementations of Offline RL Algorithms.☆65Updated 6 months ago
- ☆28Updated 2 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆24Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆15Updated 2 weeks ago
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Updated 3 years ago
- ☆14Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Re-implementations of SOTA RL algorithms.☆128Updated last year
- This is a repository for Hidden-utility Self-Play.☆26Updated last year
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆18Updated last week
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 2 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆29Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- ☆14Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆30Updated 8 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆28Updated last year
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆69Updated last year
- Meta RL codebase for Unstable Baselines☆20Updated last year