CyCTW / Parallel-MCTSLinks
Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.
☆46Updated 4 years ago
Alternatives and similar repositories for Parallel-MCTS
Users that are interested in Parallel-MCTS are comparing it to the libraries listed below
Sorting:
- A novel parallel UCT algorithm with linear speedup and negligible performance loss.☆120Updated 4 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 9 months ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆25Updated 2 years ago
- Model-based Policy Gradients☆31Updated 5 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆88Updated 2 years ago
- ☆18Updated 2 years ago
- Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games☆39Updated 3 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated last year
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆35Updated 3 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆28Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- A2C training of Relational Deep Reinforcement Learning Architecture☆13Updated 3 years ago
- ☆24Updated 2 years ago
- ☆22Updated last year
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆108Updated 2 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆113Updated 4 years ago