FanmingL / Recurrent-Offpolicy-RL
Implementation of SAC and TD3 based on various RNN and Transformer.
☆19Updated 6 months ago
Alternatives and similar repositories for Recurrent-Offpolicy-RL:
Users that are interested in Recurrent-Offpolicy-RL are comparing it to the libraries listed below
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆25Updated 2 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆60Updated 9 months ago
- ☆29Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆40Updated 5 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆65Updated last year
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆32Updated 2 years ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆64Updated 2 months ago
- ☆13Updated 4 months ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆34Updated last month
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- ☆20Updated 11 months ago
- ☆20Updated 7 months ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆30Updated last year
- Implementations of safe reinforcement learning algorithms☆26Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 6 months ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 4 months ago
- CORRO code☆35Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆26Updated last year
- Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆15Updated 4 months ago
- ☆55Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 3 months ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 4 months ago
- Robust and safe deep reinforcement learning algorithms☆12Updated last year
- ☆29Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆31Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago