jakegrigsby / deep_controlLinks
Deep Reinforcement Learning for Continuous Control in PyTorch
☆101Updated 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 Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 2 weeks ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆192Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆183Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 6 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 10 months ago
- Lightweight multi-agent gridworld Gym environment☆209Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- Partially Observable Process Gym☆196Updated last month
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆149Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆71Updated last year
- ☆199Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆159Updated last month
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆38Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆121Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆248Updated 5 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆329Updated 11 months ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆54Updated 2 years ago