LAMDA-RL / PRDCLinks
Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D4RL gym and AntMaze tasks.
☆18Updated last year
Alternatives and similar repositories for PRDC
Users that are interested in PRDC are comparing it to the libraries listed below
Sorting:
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- ☆15Updated 3 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- ☆60Updated 3 weeks ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 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…☆47Updated 2 years ago
- ☆20Updated last year
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆23Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- ☆58Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 9 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆17Updated last year
- The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)☆16Updated 2 years ago
- Anti exploration in offline reinforcement learning☆11Updated 4 years ago
- ☆37Updated 2 years ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Updated last year
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆28Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 5 months ago
- Synthetic Experience Replay☆107Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 3 years ago
- ☆15Updated 2 years ago
- ☆29Updated 2 years ago
- ☆25Updated last year
- ☆19Updated 2 years ago