jurgisp / pydreamer
PyTorch implementation of DreamerV2 model-based RL algorithm
☆209Updated last year
Related projects ⓘ
Alternatives and complementary repositories for pydreamer
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆113Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆286Updated 10 months ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆163Updated 2 years ago
- ☆332Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆152Updated 5 months ago
- DrQ-v2: Improved Data-Augmented Reinforcement Learning☆353Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆327Updated 2 years ago
- Implementation of Dreamer v3 in pytorch.☆426Updated last month
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆225Updated 4 years ago
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆204Updated last year
- DMControl Generalization Benchmark☆168Updated 10 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆155Updated 2 years ago
- Multi Task RL Baselines☆226Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆306Updated 2 months ago
- Partially Observable Process Gym☆167Updated 4 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆107Updated last year
- ☆235Updated 2 years ago
- ☆201Updated 9 months ago
- ☆231Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆115Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- ☆190Updated last year
- ☆286Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆295Updated 2 weeks ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆191Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆175Updated 2 months ago
- Benchmarking RL generalization in an interpretable way.☆132Updated 9 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆331Updated last year