Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D4RL gym and AntMaze tasks.
☆18Nov 8, 2024Updated last year
Alternatives and similar repositories for PRDC
Users that are interested in PRDC are comparing it to the libraries listed below
Sorting:
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆17Feb 14, 2024Updated 2 years ago
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆34May 31, 2024Updated last year
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Feb 10, 2024Updated 2 years ago
- ☆20Mar 19, 2024Updated last year
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆23Jun 24, 2023Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆23Apr 17, 2024Updated last year
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆26Mar 6, 2023Updated 2 years ago
- ☆15Jan 18, 2026Updated last month
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Jan 27, 2026Updated last month
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆47Jul 27, 2023Updated 2 years ago
- ☆19Oct 27, 2025Updated 4 months ago
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Oct 5, 2024Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆77Mar 4, 2025Updated 11 months ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Feb 15, 2023Updated 3 years ago
- ☆22Nov 3, 2023Updated 2 years ago
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆18May 1, 2022Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆62Aug 3, 2023Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆161Sep 12, 2023Updated 2 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆21Mar 24, 2025Updated 11 months ago
- ☆17Dec 30, 2024Updated last year
- ☆19Jun 25, 2023Updated 2 years ago
- Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).☆48Feb 10, 2024Updated 2 years ago
- ☆12May 14, 2024Updated last year
- ☆17Dec 23, 2025Updated 2 months ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 4 years ago
- A python module designed for agile RL algorithm developing.☆26Jul 11, 2024Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆47Oct 31, 2024Updated last year
- Imitation learning from multiple experts☆13Aug 29, 2022Updated 3 years ago
- ☆11Oct 3, 2022Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆32Jul 4, 2024Updated last year
- A collection of offline reinforcement learning algorithms.☆208Nov 26, 2024Updated last year
- code for the paper Offline Prioritized Experience Replay☆13Jun 13, 2023Updated 2 years ago
- D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.☆32Oct 18, 2023Updated 2 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Nov 24, 2021Updated 4 years ago
- [ICRA'25] H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps☆12Apr 10, 2025Updated 10 months ago
- A PyTorch implementation of Implicit Q-Learning☆95Oct 23, 2021Updated 4 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Feb 28, 2023Updated 3 years ago
- A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning☆15Oct 22, 2023Updated 2 years ago