Learning to Run NIPS 2017 Competition
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Aug 18, 2017 - Python
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ppo
Here are 619 public repositories matching this topic...
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
reinforcement-learning deep-reinforcement-learning pytorch multi-agent dqn rl deep-q-network ddpg drl actor-critic deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c acktr madrl
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Nov 11, 2017 - Python
Implementing reinforcement-learning algorithms for pysc2 -environment
python reinforcement-learning tensorflow deepmind proximal-policy-optimization ppo starcraft2 a2c pysc2
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Dec 12, 2017 - Python
Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED
reinforcement-learning deep-learning deep-reinforcement-learning a3c maxout-networks ppo a2c lwta modular-training modular-networks
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Jan 11, 2018 - Python
Implementation of proximal policy optimization(PPO) with tensorflow
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Feb 10, 2018 - Python
Proximal Policy Optimization with Stein Control Variates:
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Feb 12, 2018 - Python
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR). Python2 compatible (branch python2)
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Mar 28, 2018 - Python
Simple reinforcement learning framework for selfplay experiments
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Apr 8, 2018 - Python
RLbox: Solving OpenAI Gym with TensorFlow
tensorflow deep-reinforcement-learning openai-gym dqn atari continuous-control mujoco deep-rl proximal-policy-optimization ppo
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Apr 19, 2018 - Python
simple and compact implementations of reinforcement learning benchmark algorithms
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Jun 9, 2018 - Python
Reinforcement learning library for PyTorch.
reinforcement-learning artificial-intelligence neural-networks ddpg ddpg-algorithm ppo hindsight-experience-replay hindsight-policy-gradients torch-rl spiking-networks
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Jun 15, 2018 - Python
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
reinforcement-learning deep-learning algorithms openai-gym policy policy-gradient machine-learning-engineering trpo proximal-policy-optimization ppo self-play dota2-bot openai-five
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Jun 20, 2018 - Python
deep-learning deep-q-learning proximal-policy-optimization ppo advantage-actor-critic a2c pysc2 pysc2-mini-games reinfrocement-learning
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Jul 14, 2018 - Python
This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
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Jul 30, 2018 - Python
小时候练手的rl项目
reinforcement-learning tensorflow dqn policy-gradient a3c ddpg double-dqn prioritized-replay dueling-dqn ppo
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Aug 6, 2018 - Python
Minimal implementation of PPO, running in Mujoco env, using Gym-mujoco
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Aug 17, 2018 - Python
Generative-Adversarial-Imitation-Learning on PySC2
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Aug 26, 2018 - Python
Implementation of Proximal Policy Optimization(PPO)
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Aug 27, 2018 - Python
PyTorch Implementations of Standard Deep RL Algorithms (including REINFORCE, A2C, PPO)
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Sep 11, 2018 - Python
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