LAMDA-RL / PRDC
Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D4RL gym and AntMaze tasks.
☆18Updated 4 months ago
Alternatives and similar repositories for PRDC:
Users that are interested in PRDC 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
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆18Updated 11 months ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated last year
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆13Updated last year
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆18Updated 2 years ago
- ☆15Updated last year
- ☆42Updated 4 months ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Anti exploration in offline reinforcement learning☆9Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- CORRO code☆35Updated 2 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Updated last year
- ☆17Updated last year
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆25Updated 2 months ago
- ☆55Updated 2 years ago
- TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"☆19Updated 3 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆29Updated last year
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- ☆20Updated 11 months ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 years ago
- ☆17Updated last year
- ☆11Updated 10 months ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆31Updated last year
- ☆18Updated last year
- ☆14Updated 3 years ago
- ☆30Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- ☆18Updated last year