CyCTW / Parallel-MCTSLinks
Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.
☆50Updated 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.☆122Updated 4 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆124Updated 5 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- ☆24Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆166Updated 2 years ago
- [IEEE ToG] MiniZero: An AlphaZero and MuZero Training Framework☆113Updated 4 months ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆75Updated 2 years ago
- Graph convolutional memory☆16Updated 3 years ago
- Efficient Exploration through Bayesian Deep-Q Networks.☆19Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 8 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Reproduction of AlphaTensor paper for 2x2 matrices☆16Updated 2 years ago
- General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.☆41Updated 5 years ago
- ☆73Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago
- ☆113Updated 6 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆37Updated 5 years ago
- ☆122Updated 2 years ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆85Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year