baskuit / R-NaD
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
☆47Updated last year
Alternatives and similar repositories for R-NaD:
Users that are interested in R-NaD are comparing it to the libraries listed below
- A project that provides help for using DeepMind's mctx on gym-style environments.☆58Updated 5 months ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆64Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆153Updated 3 weeks ago
- ☆222Updated 4 months ago
- Deep Hierarchical Planning from Pixels☆95Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆111Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆38Updated 2 years ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- ☆264Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆172Updated 9 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 5 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆110Updated 7 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- An API conversion tool for popular external reinforcement learning environments☆160Updated 3 months ago
- Benchmarking RL generalization in an interpretable way.☆153Updated last month
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆85Updated last week
- Partially Observable Process Gym☆186Updated 9 months ago
- ☆194Updated 2 years ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆429Updated 3 weeks ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆69Updated 10 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆94Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆116Updated 7 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆139Updated 11 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆111Updated 3 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 2 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆35Updated last month
- [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data☆77Updated 8 months ago