liyc-ai / RL-pytorch
A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
☆22Updated last week
Related projects ⓘ
Alternatives and complementary repositories for RL-pytorch
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆29Updated 8 months ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆37Updated last week
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆14Updated 6 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆27Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆50Updated 4 months ago
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆16Updated 2 years ago
- ☆28Updated last year
- Implementation of SAC and TD3 based on various RNN and Transformer.☆12Updated last month
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆72Updated 10 months ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆28Updated last year
- code for ROMANCE☆12Updated last month
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆14Updated this week
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆26Updated 11 months ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆17Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆47Updated last year
- ☆11Updated 5 months ago
- CORRO code☆34Updated 2 years ago
- ☆14Updated last year
- ☆51Updated last year
- A PyTorch implementation of Implicit Q-Learning☆66Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated last year
- Reading List☆33Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆64Updated 6 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆74Updated last month
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated last year
- ☆10Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year