yusukeurakami / dreamer-pytorch
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
☆163Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for dreamer-pytorch
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆286Updated 10 months ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆113Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆225Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆144Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆155Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- ☆190Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 2 years ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆209Updated last year
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆76Updated 2 years ago
- DMControl Generalization Benchmark☆168Updated 10 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆87Updated 3 months ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆50Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆107Updated last year
- ☆332Updated 2 years ago
- ☆110Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆152Updated last week
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 3 months ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆186Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆105Updated 2 years ago
- Conservative Q Learning on top of SAC☆119Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆184Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆191Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆60Updated last year
- Simple maze environments using mujoco-py☆52Updated 10 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year