Dragon-Zhuang / BPPOLinks
Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
☆88Updated last year
Alternatives and similar repositories for BPPO
Users that are interested in BPPO are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆148Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆180Updated 3 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆103Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆209Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆32Updated 9 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆38Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- ☆113Updated 2 years ago
- ☆50Updated 3 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆44Updated 10 months ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 6 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆211Updated 11 months ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆30Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆197Updated 9 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 6 months ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆76Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last month
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Synthetic Experience Replay☆102Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- ☆57Updated 2 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago