firstbacksecondback
87 Results
|
Workshop
|
Sat 11:25 |
Meta-reinforcement learning in brains and machines Matt Botvinick |
|
|
Poster
|
Wed 18:30 |
Learning Combinatorial Optimization Algorithms over Graphs Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song |
|
|
Workshop
|
Sat 16:00 |
Progress on Deep Reinforcement Learning with Temporal Abstraction (Doina Precup) Doina Precup |
|
|
Poster
|
Wed 18:30 |
Successor Features for Transfer in Reinforcement Learning Andre Barreto · Will Dabney · Remi Munos · Jonathan Hunt · Tom Schaul · David Silver · Hado van Hasselt |
|
|
Workshop
|
Sat 16:50 |
POSTER: Power-law temporal discounting over a logarithmically compressed timeline for scale invariant reinforcement learning Zoran Tiganj |
|
|
Workshop
|
Sat 8:00 |
Hierarchical Reinforcement Learning Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa |
|
|
Symposium
|
Thu 14:00 |
Deep Reinforcement Learning Pieter Abbeel · Yan Duan · David Silver · Satinder Singh · Junhyuk Oh · Rein Houthooft |
|
|
Poster
|
Mon 18:30 |
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran · Kendall Lowrey · Emanuel Todorov · Sham Kakade |
|
|
Poster
|
Wed 18:30 |
Repeated Inverse Reinforcement Learning Kareem Amin · Nan Jiang · Satinder Singh |
|
|
Spotlight
|
Wed 15:30 |
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu · Elman Mansimov · Roger Grosse · Shun Liao · Jimmy Ba |
|
|
Poster
|
Wed 18:30 |
Natural Value Approximators: Learning when to Trust Past Estimates Zhongwen Xu · Joseph Modayil · Hado van Hasselt · Andre Barreto · David Silver · Tom Schaul |
|
|
Poster
|
Tue 18:30 |
Minimal Exploration in Structured Stochastic Bandits Richard Combes · Stefan Magureanu · Alexandre Proutiere |