BY571 / Implicit-Q-LearningLinks
PyTorch implementation of the implicit Q-learning algorithm (IQL)
☆44Updated 4 years ago
Alternatives and similar repositories for Implicit-Q-Learning
Users that are interested in Implicit-Q-Learning are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Implicit Q-Learning☆93Updated 4 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆144Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆84Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆157Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆225Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆37Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 4 months ago
- ☆58Updated 2 years ago
- ☆303Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆111Updated last month
- ☆51Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆381Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- ☆115Updated 2 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆373Updated 5 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆132Updated 4 years ago