xionghuichen / RLAssistantLinks
RLA is a tool for managing your RL experiments automatically
☆72Updated 2 years ago
Alternatives and similar repositories for RLAssistant
Users that are interested in RLAssistant are comparing it to the libraries listed below
Sorting:
- ☆30Updated 3 years ago
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆130Updated last year
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆24Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 10 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆132Updated 4 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 5 months ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆48Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆54Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆72Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆136Updated 2 years ago
- Personal Repo to keep track of RL papers☆31Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆208Updated last year
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 6 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆183Updated 3 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- ☆134Updated last year
- ☆15Updated 5 years ago
- ☆202Updated 2 years ago
- ☆12Updated last year
- Conservative Q Learning on top of SAC☆136Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- A python module designed for agile RL algorithm developing.☆26Updated last year
- ☆25Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆153Updated 2 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Updated 4 years ago