ymzhang01 / focopsLinks
Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
☆26Updated 3 years ago
Alternatives and similar repositories for focops
Users that are interested in focops are comparing it to the libraries listed below
Sorting:
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆25Updated 5 years ago
- ☆56Updated 2 years ago
- Implementations of safe reinforcement learning algorithms☆27Updated last year
- ☆74Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- ☆53Updated last year
- Simple gym environments for safety in Reinforcement Learning Research☆16Updated 10 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆77Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆21Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- ☆31Updated 4 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆49Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆42Updated 3 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆65Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- ☆46Updated 2 years ago