lucidrains / SAC-pytorchLinks
Implementation of Soft Actor Critic and some of its improvements in Pytorch
☆59Updated 5 months ago
Alternatives and similar repositories for SAC-pytorch
Users that are interested in SAC-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆128Updated 3 months ago
- An implementation of PPO in Pytorch☆93Updated last month
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆105Updated 10 months ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆31Updated last month
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated 11 months ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆70Updated last year
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks☆33Updated 9 months ago
- ☆81Updated 9 months ago
- Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University☆97Updated this week
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆106Updated last month
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated 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
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆55Updated 2 years ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆78Updated 5 months ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆36Updated 10 months ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆43Updated 2 years ago
- Efficient baselines for autocurricula in JAX.☆191Updated 11 months ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆157Updated 2 years ago
- ☆82Updated 4 months ago
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆31Updated 3 weeks ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆58Updated 2 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆102Updated 9 months ago
- ☆31Updated 8 months ago
- Gym environment for playing Wordle with RL agents☆39Updated 3 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆90Updated last year
- Implementation of BC-IRL and other IRL baselines☆28Updated 2 years ago
- Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"☆27Updated last year
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆83Updated last year
- ☆102Updated 5 months ago