Sohojoe / MujocoUnity
Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
☆50Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for MujocoUnity
- ☆44Updated 5 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆36Updated 3 years ago
- Collection of Physics-based simulations☆66Updated 2 years ago
- My solution to the Unity Obstacle Tower Challenge☆136Updated 3 years ago
- Official implementation of ICML paper Imitating Latent Policies from Observation☆73Updated 5 years ago
- Starter Kit for the Unity Obstacle Tower challenge☆119Updated 5 years ago
- ☆29Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- Some hard problems for reinforcement learning.☆32Updated 6 years ago
- Robot Ants Demo made with Unity Machine Learning Agents☆76Updated 3 years ago
- Our NIPS 2017: Learning to Run source code☆56Updated last year
- Implementation of Deepmind's Neural Episodic Control☆57Updated 6 years ago
- third person imitation learning. Archival only.☆77Updated 5 years ago
- Implement A3C for Mujoco gym envs☆73Updated 7 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- Simple grid-world environment compatible with OpenAI-gym☆49Updated 4 years ago
- Augmented environments with RL☆102Updated 5 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆33Updated last year
- Modular multitask reinforcement learning with policy sketches☆105Updated 3 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Experimental - using OpenAI baselines with MarathonEnvs (ML-Agents)☆19Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- ☆35Updated 6 years ago
- Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks☆41Updated 4 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- ☆130Updated 5 years ago