DHDev0 / Muzero-unpluggedLinks
Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
☆31Updated 2 months ago
Alternatives and similar repositories for Muzero-unplugged
Users that are interested in Muzero-unplugged are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆69Updated last year
- Adding Dreamer-v3's implementation tricks to CleanRL's PPO☆12Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆109Updated 2 months ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆107Updated 11 months ago
- ☆81Updated 9 months ago
- Implementation of Soft Actor Critic and some of its improvements in Pytorch☆59Updated 6 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆41Updated 2 years ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆71Updated last year
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆58Updated 3 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated 10 months ago
- Efficient baselines for autocurricula in JAX.☆196Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆58Updated last year
- Synchronized Curriculum Learning for RL Agents☆111Updated this week
- An implementation of PPO in Pytorch☆95Updated 3 weeks ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆43Updated 2 years ago
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆35Updated 10 months ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆55Updated 2 years ago
- [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data☆93Updated last year
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆78Updated 6 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- Implementation of Trajectory Transformer with attention caching and batched beam search☆115Updated 2 years ago
- ☆82Updated 5 months ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆158Updated 2 years ago
- ☆23Updated 11 months ago