hejia-zhang / awesome-model-based-reinforcement-learningLinks
A curated list of awesome Model-based reinforcement learning resources
☆93Updated 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
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 3 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆89Updated last year
- ☆99Updated 2 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- ☆74Updated 5 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆60Updated 5 years ago
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆88Updated 3 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 2 years ago
- RL Algorithms for Visual Continuous Control☆33Updated 2 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆39Updated last year
- Model Predictive Actor-Critic Reinforcement Learning☆66Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- behavior cloning from observation☆36Updated 4 years ago