hejia-zhang / awesome-model-based-reinforcement-learningLinks
A curated list of awesome Model-based reinforcement learning resources
☆95Updated 5 years ago
Alternatives and similar repositories for awesome-model-based-reinforcement-learning
Users that are interested in awesome-model-based-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Gym-like extensions for POMDP☆56Updated 4 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- ☆99Updated 2 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆92Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆68Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- A standalone library to randomize various OpenAI Gym Environments☆64Updated 6 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
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- NeurIPS Reproducibility Challenge 2019☆20Updated 5 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 3 years ago
- Safe exploration in Markov Decision Processes☆37Updated 8 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- ☆73Updated 5 years ago
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆88Updated 4 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 4 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆50Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago