quangr / deepnashLinks
☆13Updated 3 years ago
Alternatives and similar repositories for deepnash
Users that are interested in deepnash are comparing it to the libraries listed below
Sorting:
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 10 months ago
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆67Updated last year
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆117Updated 11 months ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆39Updated 3 years ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 8 months ago
- Code for magnetic mirror descent.☆16Updated last year
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- 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
- cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.☆34Updated 11 months ago
- Classic MCTS example with mctx☆18Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆134Updated last year
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 4 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆159Updated 4 years ago
- Code for "AutoCFR: Learning to Design Counterfatual Regret Minimization Algorithms", AAAI 2022 (Oral)☆20Updated last year
- MiniZero: An AlphaZero and MuZero Training Framework☆94Updated this week
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆123Updated 7 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆114Updated last year
- Code for the paper "Batch size invariance for policy optimization"☆51Updated 2 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆101Updated 3 years ago
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆46Updated 2 years ago
- Pytorch Implementation of MuZero☆353Updated last year
- Multi-Agent RL Environment for the Stratego Board Game (and variants)☆34Updated last year
- Results reproductions & comparisons between OpenSpiel implementations, associated paper & originating works☆16Updated 4 years ago
- Code for the paper "Phasic Policy Gradient"☆262Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆33Updated 2 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆19Updated 2 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆35Updated 4 years ago