BY571 / Implicit-Q-Learning
PyTorch implementation of the implicit Q-learning algorithm (IQL)
☆42Updated 3 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
- A PyTorch implementation of Implicit Q-Learning☆72Updated 3 years ago
- ☆55Updated 2 years ago
- Conservative Q Learning on top of SAC☆123Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆65Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆162Updated 2 years ago
- CORRO code☆35Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆23Updated last month
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆132Updated 9 months ago
- ☆28Updated 3 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆117Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆132Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆55Updated 10 months ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- behavior cloning from observation☆35Updated 4 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆118Updated 3 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆100Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆56Updated 8 months ago
- Distributional Soft Actor Critic☆51Updated 4 years ago
- Meta RL codebase for Unstable Baselines☆21Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 5 months ago
- ☆42Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago