araffin / rl-handson-rlvs21Links
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
☆54Updated 2 years ago
Alternatives and similar repositories for rl-handson-rlvs21
Users that are interested in rl-handson-rlvs21 are comparing it to the libraries listed below
Sorting:
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 3 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆63Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆74Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 8 months ago
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 11 months ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆77Updated 9 months ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆71Updated 7 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆146Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆144Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆58Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆38Updated last year
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆98Updated 3 weeks ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 8 months ago
- Distributional Soft Actor Critic☆53Updated 5 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆59Updated 4 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆205Updated 8 months ago
- ☆68Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆55Updated last year
- ☆73Updated 4 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 8 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago