tmoer / MCTS-T
Code for the paper 'Monte Carlo Tree Search for Asymmetric Trees'
☆11Updated 6 years ago
Alternatives and similar repositories for MCTS-T:
Users that are interested in MCTS-T are comparing it to the libraries listed below
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- ☆16Updated 4 years ago
- ☆17Updated 3 years ago
- A PyTorch implementation of DeepMind's MCTSnet☆18Updated 2 years ago
- RL-Toolkit: A Research Framework for Robotics☆19Updated 2 months ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆64Updated 3 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated 3 weeks ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆24Updated 4 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Lightweight simulator of a roomba-like robot☆13Updated 2 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Reinforcement Learning for Classical Planning☆11Updated 2 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆19Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- ☆35Updated 6 years ago
- Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem☆22Updated 6 years ago
- a High-Performance Distributed Solver for Large-Scale Markov Decision Processes (MDP) relying on Inexact Policy Iteration; for Python and…☆23Updated last week
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆35Updated last year
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post☆46Updated 6 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆18Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Planning using Reinforcement Learning☆8Updated 6 years ago