HJDQN / HJQLinks
PyTorch Implementation of Hamilton-Jacobi DQN
☆16Updated 4 years ago
Alternatives and similar repositories for HJQ
Users that are interested in HJQ are comparing it to the libraries listed below
Sorting:
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated last year
- ☆70Updated 6 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆50Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45Updated last year
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 5 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆38Updated 3 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆68Updated 4 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆116Updated last month
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆32Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- ☆13Updated 5 months ago
- ☆77Updated 2 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated last month
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- ☆10Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆26Updated last year
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago