jakegrigsby / deep_controlLinks
Deep Reinforcement Learning for Continuous Control in PyTorch
☆100Updated 3 years ago
Alternatives and similar repositories for deep_control
Users that are interested in deep_control are comparing it to the libraries listed below
Sorting:
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆216Updated last year
- ☆196Updated 2 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆59Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆143Updated last year
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆92Updated 10 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆189Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆137Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Conservative Q Learning on top of SAC☆130Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆179Updated 11 months ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- ☆98Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- Baseline implementation of recurrent PPO using truncated BPTT☆145Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago