hari-sikchi / safeRLLinks
Safe Reinforcement Learning algorithms
☆75Updated 3 years ago
Alternatives and similar repositories for safeRL
Users that are interested in safeRL are comparing it to the libraries listed below
Sorting:
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Safe reinforcement learning with stability guarantees☆236Updated 3 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- Safe exploration in Markov Decision Processes☆37Updated 8 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
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆51Updated 7 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- ☆73Updated 5 years ago
- Constrained Exploration and Recovery from Experience Shaping☆22Updated 6 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- ☆78Updated last year
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- ☆99Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Distributional Soft Actor Critic☆59Updated 5 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆38Updated 2 years ago